Relevant bibliographies by topics / First system of Estimation

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'First system of Estimation'

Author: Grafiati
Published: 8 September 2023

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Journal articles on the topic "First system of Estimation"

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Gao, Chao, Guorong Zhao, Jianhua Lu, and Shuang Pan. "Decentralized state estimation for networked spatial-navigation systems with mixed time-delays and quantized complementary measurements: The moving horizon case." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 232, no. 11 (June 8, 2017): 2160–77. http://dx.doi.org/10.1177/0954410017712277.

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In this paper, the navigational state estimation problem is investigated for a class of networked spatial-navigation systems with quantization effects, mixed time-delays, and network-based observations (i.e. complementary measurements and regional estimations). A decentralized moving horizon estimation approach, featuring complementary reorganization and recursive procedure, is proposed to tackle this problem. First, through the proposed reorganized scheme, a random delayed system with complementary observations is reconstructed into an equivalent delay-free one without dimensional augment. Second, with this equivalent system, a robust moving horizon estimation scheme is presented as a uniform estimator for the navigational states. Third, for the demand of real-time estimate, the recursive form of decentralized moving horizon estimation approach is developed. Furthermore, a collective estimation is obtained through the weighted fusion of two parts, i.e. complementary measurements based estimation, and regional estimations directly from the neighbors. The convergence properties of the proposed estimator are also studied. The obtained stability condition implicitly establishes a relation between the upper bound of the estimation error and two parameters, i.e. quantization density and delay occur probability. Finally, an application example to networked unmanned aerial vehicles is presented and comparative simulations demonstrate the main features of the proposed method.
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Liu, Bing, Zhen Chen, Xiangdong Liu, and Fan Yang. "An Efficient Nonlinear Filter for Spacecraft Attitude Estimation." International Journal of Aerospace Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/540235.

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Increasing the computational efficiency of attitude estimation is a critical problem related to modern spacecraft, especially for those with limited computing resources. In this paper, a computationally efficient nonlinear attitude estimation strategy based on the vector observations is proposed. The Rodrigues parameter is chosen as the local error attitude parameter, to maintain the normalization constraint for the quaternion in the global estimator. The proposed attitude estimator is performed in four stages. First, the local attitude estimation error system is described by a polytopic linear model. Then the local error attitude estimator is designed with constant coefficients based on the robustH2filtering algorithm. Subsequently, the attitude predictions and the local error attitude estimations are calculated by a gyro based model and the local error attitude estimator. Finally, the attitude estimations are updated by the predicted attitude with the local error attitude estimations. Since the local error attitude estimator is with constant coefficients, it does not need to calculate the matrix inversion for the filter gain matrix or update the Jacobian matrixes online to obtain the local error attitude estimations. As a result, the computational complexity of the proposed attitude estimator reduces significantly. Simulation results demonstrate the efficiency of the proposed attitude estimation strategy.
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Dabush, Lital, Ariel Kroizer, and Tirza Routtenberg. "State Estimation in Partially Observable Power Systems via Graph Signal Processing Tools." Sensors 23, no. 3 (January 26, 2023): 1387. http://dx.doi.org/10.3390/s23031387.

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This paper considers the problem of estimating the states in an unobservable power system, where the number of measurements is not sufficiently large for conventional state estimation. Existing methods are either based on pseudo-data that is inaccurate or depends on a large amount of data that is unavailable in current systems. This study proposes novel graph signal processing (GSP) methods to overcome the lack of information. To this end, first, the graph smoothness property of the states (i.e., voltages) is validated through empirical and theoretical analysis. Then, the regularized GSP weighted least squares (GSP-WLS) state estimator is developed by utilizing the state smoothness. In addition, a sensor placement strategy that aims to optimize the estimation performance of the GSP-WLS estimator is proposed. Simulation results on the IEEE 118-bus system show that the GSP methods reduce the estimation error magnitude by up to two orders of magnitude compared to existing methods, using only 70 sampled buses, and increase of up to 30% in the probability of bad data detection for the same probability of false alarms in unobservable systems The results conclude that the proposed methods enable an accurate state estimation, even when the system is unobservable, and significantly reduce the required measurement sensors.
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Rao, Zhushi, Qinzhong Shi, and Ichiro Hagiwara. "Optimal Estimation of Dynamic Loads for Multiple-Input System." Journal of Vibration and Acoustics 121, no. 3 (July 1, 1999): 397–401. http://dx.doi.org/10.1115/1.2893993.

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An optimal method is developed to estimate the dynamic loads for systems subjected to multiple inputs. The method focuses on minimizing the ensemble mean square error of the estimation. First, the inverse system analysis technique is employed to establish the error estimation equation. Then, by applying the noncausal Wiener filtering theory, the optimal estimator of dynamic loads is derived out. Numerical simulation work demonstrates that the method is of a good ability in suppressing the influence of measurement noises on estimation accuracy. Meanwhile, the simulating calculation of load estimation by a conventional method is also performed and the comparison of both results shows that the method proposed in this paper is rather effective and practicable for dynamic load estimation.
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PARK, J. W., B. K. CHOI, and K. B. SONG. "First Derivatives Estimation of Nonlinear Parameters in Hybrid System." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E89-A, no. 12 (December 1, 2006): 3736–38. http://dx.doi.org/10.1093/ietfec/e89-a.12.3736.

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Zhang, Xiao, Feng Ding, Ling Xu, Ahmed Alsaedi, and Tasawar Hayat. "A Hierarchical Approach for Joint Parameter and State Estimation of a Bilinear System with Autoregressive Noise." Mathematics 7, no. 4 (April 17, 2019): 356. http://dx.doi.org/10.3390/math7040356.

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This paper is concerned with the joint state and parameter estimation methods for a bilinear system in the state space form, which is disturbed by additive noise. In order to overcome the difficulty that the model contains the product term of the system input and states, we make use of the hierarchical identification principle to present new methods for estimating the system parameters and states interactively. The unknown states are first estimated via a bilinear state estimator on the basis of the Kalman filtering algorithm. Then, a state estimator-based recursive generalized least squares (RGLS) algorithm is formulated according to the least squares principle. To improve the parameter estimation accuracy, we introduce the data filtering technique to derive a data filtering-based two-stage RGLS algorithm. The simulation example indicates the efficiency of the proposed algorithms.
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Timmons, Eric Michael, and Brian Charles Williams. "Best-First Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation." Journal of Artificial Intelligence Research 67 (January 12, 2020): 1–34. http://dx.doi.org/10.1613/jair.1.11892.

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There is an increasing desire for autonomous systems to have high levels of robustness and safety, attained through continuously planning and self-repairing online. Underlying this is the need to accurately estimate the system state and diagnose subtle failures. Estimation methods based on hybrid discrete and continuous state models have emerged as a method of precisely computing these estimates. However, existing methods have difficulty scaling to systems with more than a handful of components. Discrete, consistency based state estimation capabilities can scale to this level by combining best-first enumeration and conflict-directed search. While best-first methods have been developed for hybrid estimation, conflict-directed methods have thus far been elusive as conflicts learn inconsistencies from constraint violation, but probabilistic hybrid estimation is relatively unconstrained. In this paper we present an approach to hybrid estimation that unifies best-first enumeration and conflict-directed search through the concept of "bounding" conflicts, an extension of conflicts that represent tighter bounds on the cost of regions of the search space. This paper presents a general best-first enumeration algorithm based on bounding conflicts (A*BC) and a hybrid estimation method using this enumeration algorithm. Experiments show that an A*BC powered state estimator produces estimates up to an order of magnitude faster than the current state of the art, particularly on large systems.
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Li, Shaoshi, Xingjian Wang, Shaoping Wang, and Yuwei Zhang. "Distributed Bearing-Only Formation Control for UAV-UWSV Heterogeneous System." Drones 7, no. 2 (February 10, 2023): 124. http://dx.doi.org/10.3390/drones7020124.

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This paper investigates the bearing-only formation control problem of a heterogeneous multi-vehicle system, which includes unmanned aerial vehicles (UAVs) and unmanned surface vehicles (UWSVs). The interactions among vehicles are described by a particular class of directed and acyclic graphs, namely heterogeneous leader-first follower (HLFF) graphs. Under the HLFF structure, a UAV is selected as the leader, moving with the reference dynamics, while the followers, including both UAVs and UWSVs, are responsible for controlling the position with regard to the neighbors in the formation. To solve the problem, we propose a velocity-estimation-based control scheme, which consists of a distributed observer for estimating the reference velocity of each vehicle and a distributed formation control law for achieving the desired formation based on the estimations and bearing measurements. Moreover, it is shown that the translation and scale of the formation can be uniquely determined by the leader UAV. The theoretical analysis demonstrated the finite-time convergence of the velocity estimation and the asymptotic convergence of the formation tracking. Comparative simulation results are provided to substantiate the effectiveness of the proposed method.
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Shin, Yung C. "System Identification of Multivariate Systems With Feedback." Journal of Dynamic Systems, Measurement, and Control 112, no. 2 (June 1, 1990): 283–91. http://dx.doi.org/10.1115/1.2896137.

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System identification of linear stochastic systems has been the concern of many scientists and engineers. The same system can be described in many ways and consequently many different models have been proposed. However, the complexity of the systems and computational difficulty, especially under the presence of feedback and external disturbances, have rendered identification a difficult task. This paper deals with a general modeling procedure that can be used for identification of feedback systems. First, a brief discussion on the joint input-output process models is given, followed by the discussion on the canonical representation of the model. A simplified model is derived from the general vector model. This will lead to the validity of using the Modified Autoregressive Moving Average Vector (MARMAV) model in the identification of the general multivariate system with open-loop and closed-loop dynamics. Next, an estimation procedure is explained. The estimation is pursued to reach a maximum likelihood model by nonlinear iterative calculations. Since initial values are required to start the procedure which are critical to the estimation, two methods for the initial guess value estimation are provided in the appendices.
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Lim, Jae-Han, and Eun-Kyu Lee. "Modeling the Accuracy of Estimating a Neighbor’s Evolving Position in VANET." Applied Sciences 10, no. 19 (September 28, 2020): 6814. http://dx.doi.org/10.3390/app10196814.

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Accurate estimation of a neighbor’s evolving position is essential to enhancing safety in intelligent transport systems. A vehicle can estimate a neighbor’s evolving position via periodic beaconing wherein each vehicle periodically broadcasts a beacon including its own kinematic data (e.g., position, speed, and acceleration). Many researchers have proposed analytic models to describe periodic beaconing in vehicular ad-hoc networks (VANETs). However, those models have focused only on network performance, e.g., packet delivery ratio (PDR), or a delay, which fail to evaluate the accuracy of estimating a neighbor’s evolving position. In this paper, we present a new analytic model capable of providing an estimation error of a neighbor’s evolving position in VANET to assess the accuracy of the estimation. This model relies on a vehicle system using periodic beaconing and a constant speed and position estimator (CSPE) to estimate a neighbor’s evolving position. To derive an estimation error, we first calculate the estimation error using a simple equation, which is associated with a probability of successful reception. Then, we derive the probability of successful reception that is applied onto the error model. To our knowledge, this is the first paper to establish a mathematical model to assess the accuracy of estimating a neighbor’s evolving position. To validate the proposed model, we compared the numerical results of the model with those of the NS-2 simulation. We observed that numerical results of the proposed model were located within the 95% confidential intervals of simulations results.
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Dissertations / Theses on the topic "First system of Estimation"

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Azemi, Ghasem. "Mobile velocity estimation using a time-frequency approach." Thesis, Queensland University of Technology, 2003. https://eprints.qut.edu.au/15807/1/Ghasem_Azemi_Thesis.pdf.

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This thesis deals with the problem of estimating the velocity of a mobile station (MS)in a mobile communication system using the instantaneous frequency (IF) of the received signal at the MS antenna. This estimate is essential for satisfactory handover performance, effective dynamic channel assignment, and optimisation of adaptive multiple access wireless receivers. Conventional methods for estimating the MS velocity are based either on the statistics of the envelope or quadrature components of the received signal. In chapter 4 of the thesis, we show that their performance deteriorates in the presence of shadowing. Other velocity estimators have also been proposed which require prior estimation of the channel or the average received power. These are generally difficult to obtain due to the non-stationary nature of the received signal. An appropriate window which depends on the unknown MS velocity must first be applied in order to accurately estimate the required quantities. Using the statistics of the IF of the received signal at the MS antenna given in chapter 3, new velocity estimators are proposed in chapter 4 of this thesis. The proposed estimators are based on the moments, zero-crossing rate, and covariance of the received IF. Since the IF of the received signal is not affected by any amplitude distortion, the proposed IF-based estimators are robust to shadowing and propagation path-loss. The estimators for the MS velocity in a macro- and micro-cellular system are presented separately. A macro-cell system can be considered as a special case of a micro-cell in which there is no line-of-sight component at the receiver antenna. It follows that those estimators which are derived for micro-cells can be used in a macro-cell as well. In chapter 4, we analyse the performance of the proposed velocity estimators in the presence of additive noise, non-isotropic scattering, and shadowing. We also prove analytically that the proposed velocity estimators outperform the existing methods in the presence of shadowing and additive noise. The proposed IF-based estimators need prior estimation of both the IF of the received signal and Ricean K-factor. The IF estimation in a typical wireless environment, can be considered as a special case of a general problem of IF estimation in the presence of multiplicative and additive noise. In chapter 5, we show that current time-frequency approaches to this problem which are based on the peak of a time-frequency distribution (TFD) of the signal, fail because of the special shape of the power spectral density of the multiplicative noise in a wireless environment. To overcome this drawback, the use of the first-order moment of a TFD is studied in chapter 5. Theoretical analysis and simulations show that the IF estimator based on the first-order moment of a TFD exhibits negligible bias when the signal-to-additive noise ratio is more than 10 dB. The Ricean K-factor is not only necessary for velocity estimation in micro-cells, but also is a measure of the severity of fading and a good indicator of the channel quality. Two new methods for estimating the Ricean K-factor based on the first two moments of the envelope of the received signal, are proposed in chapter 6. Performance analysis presented in chapter 6, prove that the proposed K estimators are robust to non-isotropic scattering. Theoretical analysis and simulations which are presented in chapters 4 and 7 of this thesis, prove that the proposed velocity and K estimators outperform existing estimators in the presence of shadowing and additive noise.
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Azemi, Ghasem. "Mobile Velocity Estimation Using a Time-Frequency Approach." Queensland University of Technology, 2003. http://eprints.qut.edu.au/15807/.

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This thesis deals with the problem of estimating the velocity of a mobile station (MS)in a mobile communication system using the instantaneous frequency (IF) of the received signal at the MS antenna. This estimate is essential for satisfactory handover performance, effective dynamic channel assignment, and optimisation of adaptive multiple access wireless receivers. Conventional methods for estimating the MS velocity are based either on the statistics of the envelope or quadrature components of the received signal. In chapter 4 of the thesis, we show that their performance deteriorates in the presence of shadowing. Other velocity estimators have also been proposed which require prior estimation of the channel or the average received power. These are generally difficult to obtain due to the non-stationary nature of the received signal. An appropriate window which depends on the unknown MS velocity must first be applied in order to accurately estimate the required quantities. Using the statistics of the IF of the received signal at the MS antenna given in chapter 3, new velocity estimators are proposed in chapter 4 of this thesis. The proposed estimators are based on the moments, zero-crossing rate, and covariance of the received IF. Since the IF of the received signal is not affected by any amplitude distortion, the proposed IF-based estimators are robust to shadowing and propagation path-loss. The estimators for the MS velocity in a macro- and micro-cellular system are presented separately. A macro-cell system can be considered as a special case of a micro-cell in which there is no line-of-sight component at the receiver antenna. It follows that those estimators which are derived for micro-cells can be used in a macro-cell as well. In chapter 4, we analyse the performance of the proposed velocity estimators in the presence of additive noise, non-isotropic scattering, and shadowing. We also prove analytically that the proposed velocity estimators outperform the existing methods in the presence of shadowing and additive noise. The proposed IF-based estimators need prior estimation of both the IF of the received signal and Ricean K-factor. The IF estimation in a typical wireless environment, can be considered as a special case of a general problem of IF estimation in the presence of multiplicative and additive noise. In chapter 5, we show that current time-frequency approaches to this problem which are based on the peak of a time-frequency distribution (TFD) of the signal, fail because of the special shape of the power spectral density of the multiplicative noise in a wireless environment. To overcome this drawback, the use of the first-order moment of a TFD is studied in chapter 5. Theoretical analysis and simulations show that the IF estimator based on the first-order moment of a TFD exhibits negligible bias when the signal-to-additive noise ratio is more than 10 dB. The Ricean K-factor is not only necessary for velocity estimation in micro-cells, but also is a measure of the severity of fading and a good indicator of the channel quality. Two new methods for estimating the Ricean K-factor based on the first two moments of the envelope of the received signal, are proposed in chapter 6. Performance analysis presented in chapter 6, prove that the proposed K estimators are robust to non-isotropic scattering. Theoretical analysis and simulations which are presented in chapters 4 and 7 of this thesis, prove that the proposed velocity and K estimators outperform existing estimators in the presence of shadowing and additive noise.
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Studener, Stephan [Verfasser]. "Embedded Control and Parameter Estimation Algorithms for Transport Process Systems : modeled by first-order Partial Differential Equations / Stephan Studener." Aachen : Shaker, 2011. http://d-nb.info/1069049832/34.

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Bashir, Zeeshan Ahmed. "MSB First Arithmetic Circuit for Motion Estimation." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/theses/1723.

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AN ABSTRACT OF THE THESIS OF Zeeshan Ahmed Bashir, for the Masters of Science degree in Electrical and Computer Engineering, presented on 29th June 2015, at Southern Illinois University Carbondale TITLE: MSB FIRST ARITHMETIC CIRCUIT FOR MOTION ESTIMATION MAJOR PROFESSOR: Dr. Haibo Wang This thesis presents a novel design of arithmetic circuits that perform computation from MSB to LSB in a serial manner. In the MSB first serial computation, the result is gradually refined along the computation cycles. If the result is used to do a comparison with a threshold, such as in motion estimation applications, it is possible to draw the comparison conclusion in the middle of the computation and subsequently skip the rest of the computation. Thus the MSB-first serial computation potentially results in significant power reduction, making them attractive to low power applications. Unlike the existing MSB-first design that uses redundant number system, the proposed design is based on the widely used 2’ complementary number system, making the proposed circuits more compact and consuming less power as compared to the existing circuits that use signed digital bit numbers. The proposed arithmetic circuits have been used to implement variable block size motion estimation (VBSME) circuits, including block sizes of 4x4, 8x4, 8x8, 8x16 and 16x16 on a Xilinx Spartan 6 FPGA device. The performance of the proposed design is compared with the design based on existing MSB-first arithmetic circuit. The comparison shows the proposed design consumes significantly less power compared to the reference design.
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Wu, Chunzhang. "First passage time laws, derivation, estimation and application." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1996. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq30420.pdf.

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Fontenot, Rory. "Welfare Losses from First-Come-First-Serve Course Enrollment: Outcome Estimation and Non-Market Maximization." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2057.

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College course enrollment operates as a market under supply cap. Because of the limited number of seats available for any given course some students who have a higher demand for a course are unable to enroll. The current registration system at the Claremont Colleges functions as a random draw system with added time costs. The lack of price signalling in the markets leads to a loss in overall welfare of the student body. By running data through simulated demand curves I am able to determine, on average, how much welfare is being lost by a random draw system. The percent of maximum welfare achieved compared to maximum possible ranges from forty-nine to eighty percent and largely depends on the proportion of enrolled students to the sum of enrolled + enroll requests as well as the demand function type. With price signalling, the student body would be able to reach the maximum achievable welfare.
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Zhang, Fan. "Power system harmonic state estimation." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/13019.

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Aysal, Tuncer Can. "Filtering and estimation theory first-order, polynomial and decentralized signal processing /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 327 p, 2007. http://proquest.umi.com/pqdweb?did=1257806501&sid=6&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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GUARNERA, FRANCESCO. "Advanced Methods for Image Forensics: First Quantization Estimation and Document Authentication." Doctoral thesis, Università degli studi di Catania, 2022. http://hdl.handle.net/20.500.11769/539559.

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Digital Forensics, and in a specific way Multimedia Forensics, has grown significantly in the last years. Digital Forensics is defined as the branch of Forensic Science which scientifically analyzes a digital evidence in order to obtain information about it. The Digital 2021 Global Overview Report 1 published in January 2021 certifies that the world’s population has reached the number of 7.83 billion. The 66.6% (i.e. 5.22 billion) use a mobile phone, the 59.5% (i.e. 4.66 billion) use internet and the 53.6% (i.e. 4.2 billion) are social media users. The same report declares that from 2015 to 2020 the daily time spent with social media increased of 34 minutes (it was 1 hours and 51 minutes in 2015) and that it’s destined to rise. In the described scenario the number of shared images, video and audio (or Multimedia) contents become difficult to manage. The described numbers and types of digital evidences have led to the birth of several fields of Digital Forensics, faced from different communities: Multimedia Security, Computer Forensics and Signal Processing. Image Forensics has the goal to obtain information about the most popular digital evidence: images. Developing new algorithms for forensic purposes was the main focus of my Ph.D.. In this thesis some advanced methods will be presented about two specific tasks: the first one is related to the Camera Model Identification (CMI) with the goal to identify the quantization table employed during the first JPEG compression; the second one exploits the image as the digitization of a real paper sheet in order to extract a unique fingerprint. Both the tasks produced relevant methods, widely compared with state-of-the-art to demonstrate their scientific goodness.
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Majumdar, Ankur. "Security in power system state estimation." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/33744.

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With the power system evolving from passive to a more active system there is an incorporation of information and communication infrastructures in the system. The measurement data are more prone to tampering from attackers for mala fide intentions. Therefore, security and reliability of distribution have become major concerns. State estimation (SE), being the core function of the energy/distribution management system (EMS/DMS), has become necessary in order to operate the system efficiently and in a controlled manner. Although SE is a well-known task in transmission systems, it is usually not a common task in unbalanced distribution systems due to the difference in design and operation philosophy. This thesis addresses these issues and investigates the distribution system state estimation with unbalanced full three-phase modelling. The formulation, based on weighted least squares estimation, is extended to include the open/closed switches as equality constraints. This research then explores the vulnerabilities of the state estimation problem against attacks associated with leverage measurements. Detecting gross error particularly for leverage measurements have been found to be difficult due to low residuals. The thesis presents and discusses the suitability of externally studentized residuals compared to traditional residual techniques. Additionally, the masking/swamping phenomenon associated with multiple leverages makes the identification of gross error even more difficult. This thesis proposes a robust method of identifying the high leverages and then detecting gross error when the leverage measurements are compromised. All algorithms are validated in different IEEE test systems.
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Books on the topic "First system of Estimation"

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United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Subcommittee on Securities and Investment. The implementation and future of decimalized markets: Hearing before the Subcommittee on Securities and Investment of the Committee on Banking, Housing, and Urban Affairs, United States Senate, One Hundred Seventh Congress, first session the current status of implementation of decimal pricing for securities, including an estimation of costs and benefits, May 24, 2001. Washington: U.S. G.P.O., 2002.

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Power system state estimation. Boston, Mass: Artech House, 2013.

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United States. National Aeronautics and Space Administration., ed. Parameter identification for nonlinear aerodynamic systems: First annual (second semiannual) technical report to the Aircraft Guidance and Controls Branch/489, Guidance and Control Division, National Aeronautics and Space Administration, Langley Research Center ... period covered, October 23, 1989 to October 22, 1990. [Washington, DC]: The Administration, 1990.

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Pillai, S. Unnikrishna, and Theodore I. Shim. Spectrum Estimation and System Identification. New York, NY: Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4613-8318-5.

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Pillai, S. Unnikrishna. Spectrum Estimation and System Identification. New York, NY: Springer New York, 1993.

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J, Wales Terence, ed. Demand system specification and estimation. New York: Oxford University Press, 1992.

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Pieter, Eykhoff, Parks P. C, International Federation of Automatic Control., International Federation of Operational Research Societies., and IFAC/IFORS Symposium on Identifaction and System Parameter Estimation, (8th : 1988 : Beijing), eds. Identification and system parameter estimation. Oxford: Pergamon, 1990.

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I, Shim Theodore, ed. Spectrum estimation and system identification. New York: Springer-Verlag, 1993.

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Crassidis, John L. Optimal estimation of dynamic systems. Boca Raton: Chapman & Hall/CRC, 2004.

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Czerwin, Benjamin James. Modeling and Estimation for the Renal System. [New York, N.Y.?]: [publisher not identified], 2021.

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Book chapters on the topic "First system of Estimation"

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Voit, Eberhard O. "Parameter Estimation." In A First Course in Systems Biology, 135–67. Second edition. | New York : Garland Science, 2017.: Garland Science, 2017. http://dx.doi.org/10.4324/9780203702260-5.

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Pillonetto, Gianluigi, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, and Lennart Ljung. "Bias." In Regularized System Identification, 1–15. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95860-2_1.

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AbstractAdopting a quadratic loss, the performance of an estimator can be measured in terms of its mean squared error which decomposes into a variance and a bias component. This introductory chapter contains two linear regression examples which describe the importance of designing estimators able to well balance these two components. The first example will deal with estimation of the means of independent Gaussians. We will review the classical least squares approach which, at first sight, could appear the most appropriate solution to the problem. Remarkably, we will instead see that this unbiased approach can be dominated by a particular biased estimator, the so-called James–Stein estimator. Within this book, this represents the first example of regularized least squares, an estimator which will play a key role in subsequent chapters. The second example will deal with a classical system identification problem: impulse response estimation. A simple numerical experiment will show how the variance of least squares can be too large, hence leading to unacceptable system reconstructions. The use of an approach, known as ridge regression, will give first simple intuitions on the usefulness of regularization in the system identification scenario.
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Jayakumar, K., K. V. Rajaram, and M. A. Faruqi. "Vision System for Pose Estimation of a 3D Object Using Neural Network." In Proceedings of the Thirty-First International Matador Conference, 647–53. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13796-1_97.

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Kumar, Hemanth, S. M. Dilip Kumar, and E. Nagarjun. "Congestion Estimation and Mitigation Using Fuzzy System in Wireless Sensor Network." In Proceedings of First International Conference on Computational Electronics for Wireless Communications, 655–67. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6246-1_56.

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Kurzhanski, A. B. "Ellipsoidal Calculus for Estimation and Feedback Control." In Systems and Control in the Twenty-First Century, 229–43. Boston, MA: Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-4120-1_12.

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Suárez, Alejandro, Guillermo Heredia, and Aníbal Ollero. "Analysis of Perturbations in Trajectory Control Using Visual Estimation in Multiple Quadrotor Systems." In ROBOT2013: First Iberian Robotics Conference, 115–29. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03413-3_9.

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Pillonetto, Gianluigi, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, and Lennart Ljung. "Regularization for Nonlinear System Identification." In Regularized System Identification, 313–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95860-2_8.

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AbstractIn this chapter we review some basic ideas for nonlinear system identification. This is a complex area with a vast and rich literature. One reason for the richness is that very many parameterizations of the unknown system have been suggested, each with various proposed estimation methods. We will first describe with some details nonparametric techniques based on Reproducing Kernel Hilbert Space theory and Gaussian regression. The focus will be on the use of regularized least squares, first equipped with the Gaussian or polynomial kernel. Then, we will describe a new kernel able to account for some features of nonlinear dynamic systems, including fading memory concepts. Regularized Volterra models will be also discussed. We will then provide a brief overview on neural and deep networks, hybrid systems identification, block-oriented models like Wiener and Hammerstein, parametric and nonparametric variable selection methods.
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Aitchison, K., and J. M. Kay. "Performance Estimation of Car Engine Manufacturing Systems Using Reduced Event Simulation." In Proceedings of the Thirty-First International Matador Conference, 87–92. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13796-1_14.

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von Weizsäcker, Carl Christian, and Hagen M. Krämer. "Public Debt." In Saving and Investment in the Twenty-First Century, 137–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75031-2_6.

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AbstractMore than a third of private wealth in the OECD plus China region consists of entitlements to public retirement benefits. If the state covered these future obligations using a reserve fund, an insoluble problem of investment would arise. It is only by doing without reserve funds that the twenty-first century welfare state is compatible with price stability at non-negative real interest rates. In calculating government obligations according to the ADL method, statistical offices acknowledge the implicit public debt deriving from the retirement system. Systems of public health insurance and public nursing care insurance also generate considerable implicit public debt and corresponding private wealth. The TRILL system advocated by Robert Shiller can make an important contribution to stabilize the high public debt that will be necessary in the future at low real interest rates. We undertake an empirical estimation of the level of public debt in the OECD plus China region. To determine explicit public debt, we use data on net public debt from the International Monetary Fund. Implicit public debt is mainly comprised of the state’s capitalized financial obligations deriving from the public retirement system and public health insurance. Some statistical offices publish data on the retirement benefit entitlements that have accrued within social security systems. This data provides an important basis for our calculations. We estimate that total public debt in the OECD plus China region is equivalent to more than 600% of total annual consumption in the region.
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Bhattacharjee, Kamanasish, Arti Tiwari, and Nitin Rakesh. "Block Matching Algorithm Based on Hybridization of Artificial Bee Colony and Differential Evolution for Motion Estimation in Video Compression." In Proceedings of First International Conference on Smart System, Innovations and Computing, 85–96. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5828-8_9.

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Conference papers on the topic "First system of Estimation"

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Hew, N. "Space-time estimation techniques for UTRA system." In First International Conference on 3G Mobile Communication Technologies. IEE, 2000. http://dx.doi.org/10.1049/cp:20000058.

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Rahman, Mohammad Ashiqur, Ehab Al-Shaer, and Rakesh B. Bobba. "Moving Target Defense for Hardening the Security of the Power System State Estimation." In the First ACM Workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2663474.2663482.

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Wang, Xuguang, Wei Dong, and Yan Zhang. "Copula Based Time Delay Estimation for Linear First Order System." In 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ammsa-17.2017.93.

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Nakamura, Yukihiro, and Mostapha Abdoulhamid. "Session details: Performance estimation in system design." In CODES+ISSS03: First IEEE/ACM/IFIP International CODES + ISSS 2003 Merged Conference. New York, NY, USA: ACM, 2003. http://dx.doi.org/10.1145/3247711.

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Zeng, Huimin, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, and Dong Wang. "On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/678.

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In many applications with real-world consequences, it is crucial to develop reliable uncertainty estimation for the predictions made by the AI decision systems. Targeting at the goal of estimating uncertainty, various deep neural network (DNN) based uncertainty estimation algorithms have been proposed. However, the robustness of the uncertainty returned by these algorithms has not been systematically explored. In this work, to raise the awareness of the research community on robust uncertainty estimation, we show that state-of-the-art uncertainty estimation algorithms could fail catastrophically under our proposed adversarial attack despite their impressive performance on uncertainty estimation. In particular, we aim at attacking out-domain uncertainty estimation: under our attack, the uncertainty model would be fooled to make high-confident predictions for the out-domain data, which they originally would have rejected. Extensive experimental results on various benchmark image datasets show that the uncertainty estimated by state-of-the-art methods could be easily corrupted by our attack.
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Aoki, Shigeru. "Estimation Method for First Excursion Probability of System With Collision Characteristic." In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93084.

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Safety of structures subjected to seismic excitations should be evaluated in probabilistic manner. First excursion failure is one of the most important failure modes of structures. Many structures have nonlinear characteristics. Collision characteristic is one of the most common nonlinear characteristics observed in pressure vessels and piping systems. In this paper, an estimation method for the first excursion probability of structure with collision characteristic is proposed. The first excursion probability is the function of many parameters. It is shown that when the tolerance level is normalized by the expected value of the maximum response of the structures, the first excursion probability can be shown to be in dependent of many parameters.
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Su, Jie, Hui Lu, and Xuguang Wang. "Maximum Likelihood Estimation of Time Delay for First Order Linear System." In 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ammsa-17.2017.24.

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Hosokawa, Kazuya, Toshiaki Yachi, Yoichi Hirata, and Yasuyuki Watanabe. "First Step for Power Generation Amount Estimation of Solar Matching System." In 2017 IEEE 44th Photovoltaic Specialists Conference (PVSC). IEEE, 2017. http://dx.doi.org/10.1109/pvsc.2017.8366230.

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Aoki, Shigeru. "An Estimation Method for First Excursion Probability of Nonlinear System Using Maximum Response." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2922.

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The secondary system such as pipings, tanks and other mechanical equipment are installed in the primary system such as building. The important secondary systems should be designed to maintain their function even if they are subjected to destructive earthquake excitations. First excursion failure is one of the most important failure modes. The secondary system has many nonlinear characteristics. In this paper, an estimation methods of the first excursion probability of the secondary system with gap and friction subjected to earthquake excitation is proposed. Restoring force with gap and friction force is equivalently linearized. When the tolerance level is normalized by the maximum response of the secondary system without gap and friction characteristics, variation of the first excursion probability is very small for various values of mass ratio of the secondary system to the primary system, the damping ratio and the natural period.
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Weng, Xiao-xiong, Dan Weng, and Li-ping Ye. "Multidimensional State Estimation Rules in Urban Traffic System Based on Rough Set Theory." In First International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40932(246)341.

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Reports on the topic "First system of Estimation"

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Gaponenko, Artiom, and Andrey Golovin. Electronic magazine with rating system of an estimation of individual and collective work of students. Science and Innovation Center Publishing House, October 2017. http://dx.doi.org/10.12731/er0043.06102017.

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«The electronic magazine with rating system of an estimation of individual and collective work of students» (EM) is developed in document Microsoft Excel with use of macros. EM allows to automate all the calculated operations connected with estimation of amount scored by students in each form of the current control. EM provides automatic calculation of rating of the student with reflection of a maximum quantity of the points received in given educational group. The rating equal to “1” is assigned to the student who has got a maximum quantity of points for the certain date. For the other students the share of their points in this maximum size is indicated. The choice of an estimation is made in an alphabetic format according to requirements of the European translation system of test units for the international recognition of results of educational outcomes (ECTS - European Credit Transfer System), by use of a corresponding scale of an estimation. The list of students is placed on the first page of magazine and automatically displayed on all subsequent pages. For each page of magazine the optimal size of document printing is set with automatic enter of current date and time. Owing to accounting rate of complexity of task EM is the universal technical tool which can be used for any subject matter.
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Cranfield, John, Paul Preckel, and Thomas Hertel. Poverty Analysis Using an International Cross-Country Demand System. GTAP Working Paper, November 2006. http://dx.doi.org/10.21642/gtap.wp34.

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This paper proposes a new method for ex ante analysis of the poverty impacts arising from policy reforms. Three innovations underlie this approach. The first is the estimation of a global demand system using a combination of micro-data from household surveys, and macro-data from the International Comparisons Project. Estimation is undertaken in a manner that reconciles these two sources of information, explicitly recognizing that per capita national demands are an aggregation of the disaggregated, individual household demands. The second innovation relates to a methodology for post-estimation calibration of the global demand system, giving rise to country specific demand systems and an associated expenditure function which, when aggregated across the expenditure distribution, reproduce observed per capita budget shares exactly. The third innovation is use of the calibrated expenditure function to calculate the change in the head-count of poverty, poverty gap and squared poverty gap arising from policy reforms, where the poverty measures are derived using a unique poverty level of utility, rather than an income or expenditure-based measure. We employ these techniques with a demand system for food, other non-durables and services estimated using a combination of 1996 ICP data set and national expenditure distribution data. Calibration is demonstrated for three countries for which household survey expenditure data are utilized during estimation; namely, Indonesia, the Philippines and Thailand. To illustrate the usefulness of these calibrated models for policy analysis, we assess the impacts of an assumed five percent food price rise as might be realized in the wake of a multilateral trade agreement. Results illustrate the important role of subsistence expenditures at low per capita income levels, but of discretionary expenditure at higher per capita income levels. The welfare analysis underscores the relatively large impact of the price hike on poorer households, while a modified Foster-Greer-Thorbecke poverty measure shows that the five percent price rise has a differential effect on poverty across the three focus countries, although it increases the incidence and intensity of poverty in all three cases.
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Baete, Christophe. PR-405-163600-R01 Assessing High Voltage DC Interference Risks on Buried Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2019. http://dx.doi.org/10.55274/r0011566.

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This report refers to the activities performed in the frame of PRCI project on the evaluation of interference risk from high voltage power lines (HVDC) on buried pipelines. There exist different types of HVDC systems and configurations and only some of them may affect pipeline corrosion and safety. First, a literature study was performed to identify the various HVDC system configurations and operational conditions, to define the corrosion and safety threats on pipelines and the parameters influencing the interference level. Next, simulations were performed to understand how the operational conditions of the HVDC system, the pipeline properties, the cathodic protection settings and the soil conditions determine the magnitude of DC stray current corrosion and voltage induced safety risk. Lastly, industrial cases were simulated and mitigative measures were proposed. Guidelines are proposed for estimating the risk associated with HVDC lines. This report has a related webinar.
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John, Benson, and Natalie Nitsche. Indirect estimation of the timing of first union dissolution with incomplete marriage histories. Rostock: Max Planck Institute for Demographic Research, March 2022. http://dx.doi.org/10.4054/mpidr-wp-2022-011.

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Rosenthal, A. Tehachapi solar thermal system first annual report. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10177774.

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Amatuni, L., and J. Mogollón. Developing Product Lifetimes Information System: First Results. University of Limerick, 2021. http://dx.doi.org/10.31880/10344/10192.

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Willson. L51756 State of the Art Intelligent Control for Large Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 1996. http://dx.doi.org/10.55274/r0010423.

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Computers have become a vital part of the control of pipeline compressors and compressor stations. For many tasks, computers have helped to improve accuracy, reliability, and safety, and have reduced operating costs. Computers excel at repetitive, precise tasks that humans perform poorly - calculation, measurement, statistical analysis, control, etc. Computers are used to perform these type of precise tasks at compressor stations: engine / turbine speed control, ignition control, horsepower estimation, or control of complicated sequences of events during startup and/or shutdown. For other tasks, however, computers perform very poorly at tasks that humans find to be trivial. A discussion of the differences in the way humans and computer process information is crucial to an understanding of the field of artificial intelligence. In this project, several artificial intelligence/ intelligent control systems were examined: heuristic search techniques, adaptive control, expert systems, fuzzy logic, neural networks, and genetic algorithms. Of these, neural networks showed the most potential for use on large bore engines because of their ability to recognize patterns in incomplete, noisy data. Two sets of experimental tests were conducted to test the predictive capabilities of neural networks. The first involved predicting the ignition timing from combustion pressure histories; the best networks responded within a specified tolerance level 90% to 98.8% of the time. In the second experiment, neural networks were used to predict NOx, A/F ratio, and fuel consumption. NOx prediction accuracy was 91.4%, A/F ratio accuracy was 82.9%, and fuel consumption accuracy was 52.9%. This report documents the assessment of the state of the art of artificial intelligence for application to the monitoring and control of large-bore natural gas engines.
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Gentry, Matthew, Tong Li, and Jingfeng Lu. Identification and estimation in first-price auctions with risk-averse bidders and selective entry. Institute for Fiscal Studies, April 2015. http://dx.doi.org/10.1920/wp.cem.2015.1615.

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Banks, H. T. Computational Methods for Control and Estimation of Distributed System. Fort Belvoir, VA: Defense Technical Information Center, August 1988. http://dx.doi.org/10.21236/ada204640.

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Friedlander, Benjamin. A Processing System for Multipath Estimation Localization and Tracking. Fort Belvoir, VA: Defense Technical Information Center, January 1989. http://dx.doi.org/10.21236/ada205661.

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