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Добірка наукової літератури з теми "Second system of Estimation"

Автор: Grafiati
Опубліковано: 8 вересня 2023

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Статті в журналах з теми "Second 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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Crassidis, J. L., and D. J. Mook. "Integrated Estimation/Identification Using Second-Order Dynamic Models." Journal of Vibration and Acoustics 119, no. 1 (January 1, 1997): 1–8. http://dx.doi.org/10.1115/1.2889682.

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An algorithm is presented which accurately identifies multi-input-multi-output systems characterized by vibrating structures. More specifically, an identification technique is integrated with an optimal estimator in order to develop an algorithm which is robust with respect to measurement and process noise. The unique functional form of the integrated approach utilizes systems described by second-order models. Therefore, theoretical mass, damping, and stiffness matrices, associated with lumped parameter models, are tailored with experimental time-domain data for system estimation and identification. This leads to an algorithm that is computationally efficient, producing realizations of complex multiple degree-of-freedom systems. The combined estimation/identification algorithm is used to identify the properties of an actual flexible truss from experimental data. Comparison of experimental frequency-domain data to the predicted model characteristics indicates that the integrated algorithm produces near-minimal realizations coupled with accurate modal properties.
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Hosoya, Yuzo, Yoshihiko Tsukuda, and Nobuhiko Terui. "Ancillarity and the Limited Information Maximum-Likelihood Estimation of a Structural Equation in a Simultaneous Equation System." Econometric Theory 5, no. 3 (December 1989): 385–404. http://dx.doi.org/10.1017/s0266466600012585.

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The concepts of the curved exponential family of distributions and ancillarity are applied to estimation problems of a single structural equation in a simultaneous equation model, and the effect of conditioning on ancillary statistics on the limited information maximum-likelihood (LIML) estimator is investigated. The asymptotic conditional covariance matrix of the LIML estimator conditioned on the second-order asymptotic maximal ancillary statistic is shown to be efficiently estimated by Liu and Breen's formula. The effect of conditioning on a second-order asymptotic ancillary statistic, i.e., the smallest characteristic root associated with the LIML estimation, is analyzed by means of an asymptotic expansion of the distribution as well as the exact distribution. The smallest root helps to give an intuitively appealing measure of precision of the LIML estimator.
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Mohamed, Majeed, and Indra Narayan Kar. "Stochastic contraction based online estimation of second order wiener system." ISA Transactions 69 (July 2017): 131–39. http://dx.doi.org/10.1016/j.isatra.2017.05.004.

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Izah, Rofiatul, Subiyanto Subiyanto, and Dhidik Prastiyanto. "Improvement of DSOGI PLL Synchronization Algorithm with Filter on Three-Phase Grid-connected Photovoltaic System." Jurnal Elektronika dan Telekomunikasi 18, no. 1 (August 31, 2018): 35. http://dx.doi.org/10.14203/jet.v18.35-45.

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Synchronous Reference Frame Phase Locked Loop (SRF PLL) has been widely used for synchronization three-phase grid-connected photovoltaic (PV) system. On the grid fault, SRF PLL distorted by negative sequence component and grid harmonic that caused an error in estimating parameter because of ripple and oscillation. This work combined SRF PLL with Dual Second Order Generalized Integrator (DSOGI) and filter to minimize ripple and minimize oscillation in the phase estimation and frequency estimation. DSOGI was used for filtering and obtaining the 90o shifted versions from the vαβ signals. These signals (vαβ) were generated from three phase grid voltage signal using Clarke transform. The vαβ signal was the inputs to the positive-sequence calculator (PSC). The positive-sequence vαβ was transformed to the dq synchronous reference frame and became an input to SRF-PLL to create the estimation frequency. This estimation frequency from SRF PLL was filtered by the low-pass filter to decrease grid harmonic. Moreover, the output of low-pass filter was a frequency adaptive. The performance of DSOGI PLL with filter is compared with DSOGI PLL, SRF PLL, and IEEE standard 1547(TM)-2003. The improvement of DSOGI PLL with filter gave better performances than DSOGI PLL and SRF PLLbecause it minimized ripples and oscillations in the phase and frequency estimations.
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Sun, Shaoxin, Huaguang Zhang, Jian Han, and Yuling Liang. "A novel double-level observer-based fault estimation for Takagi–Sugeno fuzzy systems with unknown nonlinear dynamics." Transactions of the Institute of Measurement and Control 41, no. 12 (February 5, 2019): 3372–84. http://dx.doi.org/10.1177/0142331219826655.

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In this paper we investigate the fault estimation problem against local unknown nonlinear dynamics, sensor and actuator faults for a class of Takagi–Sugeno (T-S) fuzzy systems. In addition, the exogenous disturbances and measurement noise are considered, which are presented in the operation of the systems and are various and independent of the systems. A novel double-level observer is designed to estimate the system states and faults. Compared with the current research results, the proposed observer has a wider range of application. By designing a fuzzy augmented system and a Kalman filter as the first-level observer, the estimations of system states, sensor faults and actuator faults can be obtained simultaneously. The second-level observer can estimate the unknown nonlinear dynamic function by establishing generalized fuzzy hyperbolic model. The robust stability of the estimation error systems is considered by H∞ performance. Finally, three simulation examples are provided to demonstrate the effectiveness of the proposed fault estimation method.
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Lin, Qizhe, Xiaoqi Li, Bicheng Tu, Junwei Cao, Ming Zhang, and Jiawei Xiang. "Stable and Accurate Estimation of SOC Using eXogenous Kalman Filter for Lithium-Ion Batteries." Sensors 23, no. 1 (January 1, 2023): 467. http://dx.doi.org/10.3390/s23010467.

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The state of charge (SOC) for a lithium-ion battery is a key index closely related to battery performance and safety with respect to the power supply system of electric vehicles. The Kalman filter (KF) or extended KF (EKF) is normally employed to estimate SOC in association with the relatively simple and fast second-order resistor-capacitor (RC) equivalent circuit model for SOC estimations. To improve the stability of SOC estimation, a two-stage method is developed by combining the second-order RC equivalent circuit model and the eXogenous Kalman filter (XKF) to estimate the SOC of a lithium-ion battery. First, approximate SOC estimation values are observed with relatively poor accuracy by a stable observer without considering parameter uncertainty. Second, the poor accuracy SOC results are further fed into XKF to obtain relative stable and accurate SOC estimation values. Experiments demonstrate that the SOC estimation results of the present method are superior to those of the commonly used EKF method. It is expected that the present two-stage XKF method will be useful for the stable and accurate estimation of SOC in the power supply system of electric vehicles.
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Ordaz, Patricio, Liliam Rodríguez-Guerrero, Omar Santos, Carlos Cuvas, Hugo Romero, Mario Ordaz-Oliver, and Pablo López-Pérez. "Parameter estimation of a second order system via nonlinear identification algorithm." IOP Conference Series: Materials Science and Engineering 844 (June 30, 2020): 012038. http://dx.doi.org/10.1088/1757-899x/844/1/012038.

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Huang, Chi Tsung, and Chin Jui Chou. "Estimation of the underdamped second-order parameters from the system transient." Industrial & Engineering Chemistry Research 33, no. 1 (January 1994): 174–76. http://dx.doi.org/10.1021/ie00025a024.

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Delpoux, Romain, Thierry Floquet, and Hebertt Sira-Ramírez. "Finite-Time Trajectory Tracking of Second-Order Systems Using Acceleration Feedback Only." Automation 2, no. 4 (December 16, 2021): 266–77. http://dx.doi.org/10.3390/automation2040017.

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In this paper, an algebraic approach for the finite-time feedback control problem is provided for second-order systems where only the second-order derivative of the controlled variable is measured. In practice, it means that the acceleration is the only variable that can be used for feedback purposes. This problem appears in many mechanical systems such as positioning systems and force-position controllers in robotic systems and aerospace applications. Based on an algebraic approach, an on-line algebraic estimator is developed in order to estimate in finite time the unmeasured position and velocity variables. The obtained expressions depend solely on iterated integrals of the measured acceleration output and of the control input. The approach is shown to be robust to noisy measurements and it has the advantage to provide on-line finite-time (or non-asymptotic) state estimations. Based on these estimations, a quasi-homogeneous second-order sliding mode tracking control law including estimated position error integrals is designed illustrating the possibilities of finite-time acceleration feedback via algebraic state estimation.
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Дисертації з теми "Second system of Estimation"

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Chen, Yi. "Second Generation Tactile Imaging System for Mechanical Properties Estimation." Master's thesis, Temple University Libraries, 2014. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/284711.

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Electrical Engineering
M.S.E.E.
The Tactile Imaging System (TIS), developed in the Control, Sensor, Network, and Perception (CSNAP) Laboratory at Temple University, is a novel non-invasive method to measure the size and elastic modulus of inclusions. In this thesis, we revamped TIS to enlarge the contact area and replaced the lens to provide clearer shape information. We investigated different lighting sources and configurations in order to obtain clearer images of the target. We also improved the illuminating circuit using a constant current driver and a Pulse Width Modulation (PWM) dimming to stabilize the light brightness. After confirming the ability to obtain clearer images of the target, we compared the newly revamped TIS with the older version. The results showed that the images are clearer with a 214% larger interrogation area. We compared the accuracies of two tactile imaging systems using the depth, size and elastic modulus estimation algorithms. The results indicated that the second generation TIS (TIS G2) has better performance in all three parameters. TIS G2's error for depth estimation was 1.4%, which is 5.78% better than first generation TIS (TIS G1). TIS G2's error for size estimation was 5.28%, which is 0.96% better than first TIS G1. TIS can only calculate relative elasticity of the phantoms. We made five phantoms with varying stiffnesses and TIS G1 could not differentiate different stiffnesses, while TIS G2 recognized four out of five phantoms' relative stiffness. Finally, we performed a t-test to see whether the differences in G1 and G2 are statistically significant. The results showed that there are significant differences between the two systems.
Temple University--Theses
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Ghassempour, Aghamolki Hossein. "Phasor Measurement Unit Data-based States and Parameters Estimation in Power System." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6505.

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The dissertation research investigates estimating of power system static and dynamic states (e.g. rotor angle, rotor speed, mechanical power, voltage magnitude, voltage phase angle, mechanical reference point) as well as identification of synchronous generator parameters. The research has two focuses: i. Synchronous generator dynamic model states and parameters estimation using real-time PMU data. ii.Integrate PMU data and conventional measurements to carry out static state estimation. The first part of the work focuses on Phasor Measurement Unit (PMU) data-based synchronous generator states and parameters estimation. In completed work, PMU data-based synchronous generator model identification is carried out using Unscented Kalman Filter (UKF). The identification not only gives the states and parameters related to a synchronous generator swing dynamics but also gives the states and parameters related to turbine-governor and primary and secondary frequency control. PMU measurements of active power and voltage magnitude, are treated as the inputs to the system while voltage phasor angle, reactive power, and frequency measurements are treated as the outputs. UKF-based estimation can be carried out at real-time. Validation is achieved through event play back to compare the outputs of the simplified simulation model and the PMU measurements, given the same input data. Case studies are conducted not only for measurements collected from a simulation model, but also for a set of real-world PMU data. The research results have been disseminated in one published article. In the second part of the research, new state estimation algorithm is designed for static state estimation. The algorithm contains a new solving strategy together with simultaneous bad data detection. The primary challenge in state estimation solvers relates to the inherent non-linearity and non-convexity of measurement functions which requires using of Interior Point algorithm with no guarantee for a global optimum solution and higher computational time. Such inherent non-linearity and non-convexity of measurement functions come from the nature of power flow equations in power systems. The second major challenge in static state estimation relates to the bad data detection algorithm. In traditional algorithms, Largest Normalized Residue Test (LNRT) has been used to identify bad data in static state estimation. Traditional bad data detection algorithm only can be applied to state estimation. Therefore, in a case of finding any bad datum, the SE algorithm have to rerun again with eliminating found bad data. Therefore, new simultaneous and robust algorithm is designed for static state estimation and bad data identification. In the second part of the research, Second Order Cone Programming (SOCP) is used to improve solving technique for power system state estimator. However, the non-convex feasible constraints in SOCP based estimator forces the use of local solver such as IPM (interior point method) with no guarantee for quality answers. Therefore, cycle based SOCP relaxation is applied to the state estimator and a least square estimation (LSE) based method is implemented to generate positive semi-definite programming (SDP) cuts. With this approach, we are able to strengthen the state estimator (SE) with SOCP relaxation. Since SDP relaxation leads the power flow problem to the solution of higher quality, adding SDP cuts to the SOCP relaxation makes Problem’s feasible region close to the SDP feasible region while saving us from computational difficulty associated with SDP solvers. The improved solver is effective to reduce the feasible region and get rid of unwanted solutions violate cycle constraints. Different Case studies are carried out to demonstrate the effectiveness and robustness of the method. After introducing the new solving technique, a novel co-optimization algorithm for simultaneous nonlinear state estimation and bad data detection is introduced in this dissertation. ${\ell}_1$-Norm optimization of the sparse residuals is used as a constraint for the state estimation problem to make the co-optimization algorithm possible. Numerical case studies demonstrate more accurate results in SOCP relaxed state estimation, successful implementation of the algorithm for the simultaneous state estimation and bad data detection, and better state estimation recovery against single and multiple Gaussian bad data compare to the traditional LNRT algorithm.
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Kim, Jae-Hak, and Jae-Hak Kim@anu edu au. "Camera Motion Estimation for Multi-Camera Systems." The Australian National University. Research School of Information Sciences and Engineering, 2008. http://thesis.anu.edu.au./public/adt-ANU20081211.011120.

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The estimation of motion of multi-camera systems is one of the most important tasks in computer vision research. Recently, some issues have been raised about general camera models and multi-camera systems. Using many cameras as a single camera is studied [60], and the epipolar geometry constraints of general camera models is theoretically derived. Methods for calibration, including a self-calibration method for general camera models, are studied [78, 62]. Multi-camera systems are an example of practically implementable general camera models and they are widely used in many applications nowadays because of both the low cost of digital charge-coupled device (CCD) cameras and the high resolution of multiple images from the wide field of views. To our knowledge, no research has been conducted on the relative motion of multi-camera systems with non-overlapping views to obtain a geometrically optimal solution. ¶ In this thesis, we solve the camera motion problem for multi-camera systems by using linear methods and convex optimization techniques, and we make five substantial and original contributions to the field of computer vision. First, we focus on the problem of translational motion of omnidirectional cameras, which are multi-camera systems, and present a constrained minimization method to obtain robust estimation results. Given known rotation, we show that bilinear and trilinear relations can be used to build a system of linear equations, and singular value decomposition (SVD) is used to solve the equations. Second, we present a linear method that estimates the relative motion of generalized cameras, in particular, in the case of non-overlapping views. We also present four types of generalized cameras, which can be solvable using our proposed, modified SVD method. This is the first study finding linear relations for certain types of generalized cameras and performing experiments using our proposed linear method. Third, we present a linear 6-point method (5 points from the same camera and 1 point from another camera) that estimates the relative motion of multi-camera systems, where cameras have no overlapping views. In addition, we discuss the theoretical and geometric analyses of multi-camera systems as well as certain critical configurations where the scale of translation cannot be determined. Fourth, we develop a global solution under an L∞ norm error for the relative motion problem of multi-camera systems using second-order cone programming. Finally, we present a fast searching method to obtain a global solution under an L∞ norm error for the relative motion problem of multi-camera systems, with non-overlapping views, using a branch-and-bound algorithm and linear programming (LP). By testing the feasibility of LP at the earlier stage, we reduced the time of computation of solving LP.¶ We tested our proposed methods by performing experiments with synthetic and real data. The Ladybug2 camera, for example, was used in the experiment on estimation of the translation of omnidirectional cameras and in the estimation of the relative motion of non-overlapping multi-camera systems. These experiments showed that a global solution using L∞ to estimate the relative motion of multi-camera systems could be achieved.
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Vignoni, Alejandro. "Invariance and Sliding Modes. Application to coordination of multi-agent systems, bioprocesses estimation, and control in living cells." Doctoral thesis, Editorial Universitat Politècnica de València, 2014. http://hdl.handle.net/10251/37743.

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The present thesis employs ideas of set invariance and sliding modes in order to deal with different relevant problems control of nonlinear systems. Initially, it reviews the techniques of set invariance as well as the more relevant results about sliding modes control. Then the main methodologies used are presented: sliding mode reference conditioning, second order sliding modes and continuous approximation of sliding modes. Finally, the methodologies are applied to different problems in control theory and to a variety of biologically inspired applications. The contributions of the thesis are: The development of a method to coordinate dynamical systems with different dynamic properties by means of a sliding mode auxiliary loop shaping the references given to the systems as function of the local and global goals, the achievable performance of each system and the available information of each system. Design methods for second order sliding mode algorithms. The methods decouple the problem of stability analysis from that of finite-time convergence of the super-twisting sliding mode algorithm. A nonlinear change of coordinates and a time-scaling are used to provide simple, yet flexible design methods and stability proofs. Application of the method to the design of finite-time convergence estimators of bioprocess kinetic rates and specific biomass growth rate, from biomass measurements. Also the estimators are validated with experimental data. The proposal of a strategy to reduce the variability of a cell-to-cell communication signal in synthetic genetic circuits. The method uses set invariance and sliding mode ideas applied to gene expression networks to obtain a reduction in the variance of the communication signal. Experimental approaches available to modify the characteristics of the gene regulation function are described.
Vignoni, A. (2014). Invariance and Sliding Modes. Application to coordination of multi-agent systems, bioprocesses estimation, and control in living cells [Tesis doctoral]. Editorial Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/37743
Alfresco
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5

常春起 and Chunqi Chang. "Blind signal estimation using second order statistics." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31241487.

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Chang, Chunqi. "Blind signal estimation using second order statistics /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23272806.

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7

Ghosh, Roy Gourab. "A Simple Second Derivative Based Blur Estimation Technique." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366890068.

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Fedorov, Valery V., Peter Hackl, and Werner Müller. "Estimation and Experimental Design for Second Kind Regression Models." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1990. http://epub.wu.ac.at/86/1/document.pdf.

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Анотація:
Estimation procedures and optimal designs for estimation of the individual parameters and of the global parameters are discussed under various conditions of prior knowledge. The extension to nonlinear parametrization of the response function ís based on the asymptotical validity of the results for the linear parametrization. For the case where the error variance and the dispersion matrix are unknown, an iterative estimation procedure is suggested. An example based on dental plaque pH profiles demonstrates the improvement that is achieved (a) through using the optimal design or a design that ís close to the optimal, and (b) through taking into account prior information. (author's abstract)
Series: Forschungsberichte / Institut für Statistik
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Kim, Kyong Ryun. "Second order accurate variance estimation in poststratified two-stage sampling." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5895.

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We proposed new variance estimators for the poststratified estimator of the population total in two-stage sampling. The linearization or Taylor series variance estimator and the jackknife linearization variance estimator are popular for the poststratified estimator. The jackknife linearization variance estimator utilizes the ratio, ^Rc, which balances the weights for the poststrata while the linearization or Taylor series estimator does not. The jackknife linearization variance estimator is equivalent to Rao's (1985) adjusted variance estimator. Our proposed estimator makes use of the ratio, ^R c, in a different shape which is naturally derived from the process of expanding to the second-order Taylor series linearization, while the standard linearization variance estimator is only expanded to the first-order. We investigated the properties and performance of the linearization variance estimator, the jackknife linearization estimator, the proposed variance estimator and its modified version analytically and through simulation study. The simulation study was carried out on both artificially generated data and real data. The result showed that the second order accurate variance estimator and its modified version could be very good candidates for the variance estimation of poststratified estimator of population total.
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Woo, Wai Lok. "Blind inverse channel estimation using second and higher order statistics." Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.421174.

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Книги з теми "Second system of Estimation"

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Banks, H. Thomas. Estimation of nonlinear damping in second order distributed parameter systems. Hampton, Va: ICASE, 1989.

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2

Banks, H. Thomas. Estimation of nonlinear damping in second order distributed parameter systems. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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3

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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4

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

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5

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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7

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

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8

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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9

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

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10

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

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Частини книг з теми "Second system of Estimation"

1

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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2

Frezza, Ruggero. "Characterization and Classification of Gaussian Second Order Reciprocal Processes." In Modeling, Estimation and Control of Systems with Uncertainty, 126–44. Boston, MA: Birkhäuser Boston, 1991. http://dx.doi.org/10.1007/978-1-4612-0443-5_8.

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3

Movsowitz-Davidow, Danielle, Nir Lavi, and Orna Agmon Ben-Yehuda. "Bill Estimation in Simplified Memory Progressive Second Price Auctions." In Economics of Grids, Clouds, Systems, and Services, 54–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36027-6_5.

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4

Rösch, Arnd. "Second Order Optimality Conditions and Stability Estimates for the Identification of Nonlinear Heat Transfer Laws." In Control and Estimation of Distributed Parameter Systems, 237–46. Basel: Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8849-3_18.

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5

Brillinger, David R. "Parameter Estimation for Nongaussian Processes via Second and Third Order Spectra with an Application to Some Endocrine Data." In Advanced Methods of Physiological System Modeling, 53–61. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-9789-2_2.

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6

Zhou, Fei, and Jing Tan. "Sparse Channel Estimation Using Overcomplete Dictionaries in OFDM Systems." In The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems, 743–51. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00536-2_85.

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7

Postnov, Kirill V. "An Estimation Extension of Domain of Attraction for Second-Order Dynamic Systems." In Lecture Notes in Control and Information Sciences - Proceedings, 49–57. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87966-2_6.

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Zhao, Long, Qiang Ma, Bin Li, and Chenglin Zhao. "Empirical Likelihood-Based Channel Estimation with Laplacian Noise." In The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems, 793–98. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00536-2_90.

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Zhang, Junsheng, Ruian Liu, and Daxi Liu. "Research on the Channel Estimation Algorithms in MIMO-Channel." In The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems, 839–46. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00536-2_96.

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Condemine, Cyril, Loic Grau, Yves Masson, and Sebastien Aubry. "Live Digital Twin for Hydraulic Structures Fatigue Estimation." In Lecture Notes in Civil Engineering, 494–505. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_43.

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AbstractMaintaining hydraulic structures such as dams, penstocks, or water lock gates in operating conditions and optimizing their maintenance costs are key issues for energy production or river navigation. The ultimate objective is to know the real state of fatigue and damage of the structure and identify any related anomalies. In this paper, we introduce a digital twin, for fatigue evaluation merging measured data obtained with an embedded sensor network and a 3D numerical model that converts in real time measured data into fatigue. After 3 years of R&D collaboration between CNR and Morphosense in the maintenance of navigation lock gates or dam gates, this presentation exposes how the proposed Live Digital Twin solution contributes to fatigue evaluation and more generally to global structural monitoring in dealing with fundamental issues of hydraulic structures: risk assessment, maintenance in operating conditions and maintenance costs optimization. After a context and state of the art introduction, the second part will detail the system overview. In the third part, the monitoring system will be addressed.
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Тези доповідей конференцій з теми "Second system of Estimation"

1

Powers, E. J., S. W. Nam, and S. B. Kim. "Adaptive algorithms for the frequency-domain identification of a second-order Volterra system with random input." In Fifth ASSP Workshop on Spectrum Estimation and Modeling. IEEE, 1990. http://dx.doi.org/10.1109/spect.1990.205539.

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Alshebeili, S. A., A. N. Venetsanopoulos, and A. E. Cetin. "Identification of nonminimum phase systems using the second- and third-order statistics." In Fifth ASSP Workshop on Spectrum Estimation and Modeling. IEEE, 1990. http://dx.doi.org/10.1109/spect.1990.205538.

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3

"SOUND PARAMETER ESTIMATION IN A SECURITY SYSTEM." In Second International Conference on Telecommunications and Remote Sensing. SCITEPRESS - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004786401400144.

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4

Li, Shangwen, and Lu Yu. "Motion estimation with Second Order Prediction." In 2011 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2011. http://dx.doi.org/10.1109/iscas.2011.5938143.

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Liu, Gang, Bing He, and Jilin Li. "A new FOA estimation method in SAR/GALILEO system." In Second International Conference on Spatial Information Technology, edited by Cheng Wang, Shan Zhong, and Jiaolong Wei. SPIE, 2007. http://dx.doi.org/10.1117/12.775232.

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6

Liu, Huafeng, Andrey H. Shabelansky, Jinsong Chen, Min Yang, Cory J. Hoelting, and Ying Tan. "A depth uncertainty estimation system with prestack seismic data." In Second International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists and American Association of Petroleum Geologists, 2022. http://dx.doi.org/10.1190/image2022-3745059.1.

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7

Kun, Qian, Pang Xiangping, Yan Hao, and Liu Kai. "Aircraft Health Monitoring System Using Multiple-Model Adaptive Estimation." In 2010 Second Global Congress on Intelligent Systems (GCIS). IEEE, 2010. http://dx.doi.org/10.1109/gcis.2010.108.

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Xie, Boyuan, Sifa Zheng, Xiaohui Qin, and Xijun Zhou. "DGPS-Based Vehicle State Estimation in V2I Cooperative System." In Second International Conference on Transportation Information and Safety. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413036.004.

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9

Gawalwad, Balaji G., Nanasaheb S. Patil, and Shambhu N. Sharma. "An estimation algorithm of a second-order phase-locked loop system." In 2012 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2012. http://dx.doi.org/10.1109/iccci.2012.6158891.

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Zhang, Guozhong, Lincheng Shen, and Wensen Chang. "Acquisition probability estimation model of density correlation scene matching system." In Second International Conference on Image and Graphics, edited by Wei Sui. SPIE, 2002. http://dx.doi.org/10.1117/12.477194.

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Звіти організацій з теми "Second system of Estimation"

1

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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Chen, Yousu, Mark J. Rice, Kurt R. Glaesemann, Shaobu Wang, and Zhenyu Huang. Sub-Second Parallel State Estimation. Office of Scientific and Technical Information (OSTI), October 2014. http://dx.doi.org/10.2172/1166881.

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3

Ting, Kai M. Second Generation of Mass Estimation. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada590623.

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4

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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Skow. PR-244-093703-R01 Uncertainties of In-line Inspection Crack Detection Tools Phases 1-2. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), October 2014. http://dx.doi.org/10.55274/r0010828.

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Анотація:
This project was carried� to develop better approaches to deal with in line crack inspection tool uncertainty. The primary objectives of the project were as follows: To develop practical and defendable methodologies to quantify the de facto tool accuracy for a specific pipeline, taking into account the limitations associated with field excavation programs.� To develop methodologies that can be used to incorporate the above mentioned tool characterizations into the crack management process. The objectives were addressed in two parts: first by estimating the number of defects in the pipeline, and second by estimating the reliability of the pipeline given the defect count and size distributions. Sections 2 and 3 of this report detail the models used to estimate the number and size of defects in the pipeline. Section 4 details the reliability models used as a basis for crack management. API Standard 1163 titled �In line Inspection System Qualification Standards� provides performance based requirements for in line inspection (ILI) systems, including procedures, personnel and equipment. The standard provides a starting point and terminology for discussions on in line tool performance and is referred to throughout this report. In line tool accuracy is defined in API 1163 in terms of probability of detection (POD), probability of identification (POI), probability of false call (POFC) and sizing accuracy. Models for each of these performance measures is developed and exercised using four operator ILI and excavation data sets for stress corrosion cracking (SCC) defects. The model results are then applied to a crack management process that utilizes pipeline reliability as a basis for decision making. An overview of the models developed for POD, POI, POFC and sizing, as well as key results from the crack management process, is presented.
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6

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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8

Peppanen, Jouni, Matthew J. Reno, Robert Joseph Broderick, and Santiago Grijalva. Distribution System Secondary Circuit Parameter Estimation for Model Calibration. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1459098.

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Edgemon, G. L. Design of second generation Hanford tank corrosion monitoring system. Office of Scientific and Technical Information (OSTI), April 1998. http://dx.doi.org/10.2172/353279.

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Klinger, G. S., B. M. Oliver, J. Abrefah, S. C. Marschman, P. J. MacFarlan, and G. A. Ritter. Spent fuel drying system test results (second dry-run). Office of Scientific and Technical Information (OSTI), July 1998. http://dx.doi.org/10.2172/663267.

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