Relevant bibliographies by topics / Parameter-driven systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Parameter-driven systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Parameter-driven systems.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Parameter-driven systems"

1

Priyadarshini, Pallavi, Fengqiong Qin, Ee-Peng Lim, and Wee-Keong Ng. "Parameter driven synthetic web database generation." Journal of Systems and Software 69, no. 1-2 (January 2004): 29–42. http://dx.doi.org/10.1016/s0164-1212(03)00002-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Verhoek, Chris, Hossam S. Abbas, Roland Tóth, and Sofie Haesaert. "Data-Driven Predictive Control for Linear Parameter-Varying Systems." IFAC-PapersOnLine 54, no. 8 (2021): 101–8. http://dx.doi.org/10.1016/j.ifacol.2021.08.588.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Poulain, Stéphane, Ophélie Arnaud, Sachi Kato, Iris Chen, Hiro Ishida, Piero Carninci, and Charles Plessy. "Machine-driven parameter screen of biochemical reactions." Nucleic Acids Research 48, no. 7 (February 6, 2020): e37-e37. http://dx.doi.org/10.1093/nar/gkaa079.

Full text
Abstract:
Abstract The development of complex methods in molecular biology is a laborious, costly, iterative and often intuition-bound process where optima are sought in a multidimensional parameter space through step-by-step optimizations. The difficulty of miniaturizing reactions under the microliter volumes usually handled in multiwell plates by robots, plus the cost of the experiments, limit the number of parameters and the dynamic ranges that can be explored. Nevertheless, because of non-linearities of the response of biochemical systems to their reagent concentrations, broad dynamic ranges are necessary. Here we use a high-performance nanoliter handling platform and computer generation of liquid transfer programs to explore in quadruplicates 648 combinations of 4 parameters of a biochemical reaction, the reverse-transcription, which lead us to uncover non-linear responses, parameter interactions and novel mechanistic insights. With the increased availability of computer-driven laboratory platforms for biotechnology, our results demonstrate the feasibility and advantage of methods development based on reproducible, computer-aided exhaustive characterization of biochemical systems.
APA, Harvard, Vancouver, ISO, and other styles
4

Luo, Biao, Tingwen Huang, Huai-Ning Wu, and Xiong Yang. "Data-Driven $H_\infty$ Control for Nonlinear Distributed Parameter Systems." IEEE Transactions on Neural Networks and Learning Systems 26, no. 11 (November 2015): 2949–61. http://dx.doi.org/10.1109/tnnls.2015.2461023.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Verdeny, Albert, Joaquim Puig, and Florian Mintert. "Quasi-Periodically Driven Quantum Systems." Zeitschrift für Naturforschung A 71, no. 10 (October 1, 2016): 897–907. http://dx.doi.org/10.1515/zna-2016-0079.

Full text
Abstract:
AbstractFloquet theory provides rigorous foundations for the theory of periodically driven quantum systems. In the case of non-periodic driving, however, the situation is not so well understood. Here, we provide a critical review of the theoretical framework developed for quasi-periodically driven quantum systems. Although the theoretical footing is still under development, we argue that quasi-periodically driven quantum systems can be treated with generalisations of Floquet theory in suitable parameter regimes. Moreover, we provide a generalisation of the Floquet-Magnus expansion and argue that quasi-periodic driving offers a promising route for quantum simulations.
APA, Harvard, Vancouver, ISO, and other styles
6

Diop, Mamadou A., and María J. Garrido-Atienza. "Retarded evolution systems driven by fractional Brownian motion with Hurst parameter." Nonlinear Analysis: Theory, Methods & Applications 97 (March 2014): 15–29. http://dx.doi.org/10.1016/j.na.2013.11.008.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ge, Xiaobiao, Zhong Luo, Ying Ma, Haopeng Liu, and Yunpeng Zhu. "A novel data-driven model based parameter estimation of nonlinear systems." Journal of Sound and Vibration 453 (August 2019): 188–200. http://dx.doi.org/10.1016/j.jsv.2019.04.024.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Sroczynski, David W., Or Yair, Ronen Talmon, and Ioannis G. Kevrekidis. "Data-driven Evolution Equation Reconstruction for Parameter-Dependent Nonlinear Dynamical Systems." Israel Journal of Chemistry 58, no. 6-7 (April 6, 2018): 787–94. http://dx.doi.org/10.1002/ijch.201700147.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Li, Guo-Hui. "Synchronization of chaotic systems with parameter driven by a chaotic signal." Chaos, Solitons & Fractals 26, no. 5 (December 2005): 1485–89. http://dx.doi.org/10.1016/j.chaos.2005.04.012.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Zhao, Y. M., W. F. Xie, and X. W. Tu. "Performance-based parameter tuning method of model-driven PID control systems." ISA Transactions 51, no. 3 (May 2012): 393–99. http://dx.doi.org/10.1016/j.isatra.2012.02.005.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Parameter-driven systems"

1

Poon, Josiah Chun-Fai, and josiah poon@deakin edu au. "An intelligent assistant to re-configure parameter-driven systems." Deakin University, 1994. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20061207.143623.

Full text
Abstract:
Parameter-Driven Systems (PDS) are widely used in commerce for large-scale applications. Reusability is achieved with a PDS design by relocating implicit control structures in the software and the storage of explicit data in database files. This approach can accommodate various user requirements without tedious modification of the software. In order to specify appropriate parameters in a system, knowledge of both business activities and system behaviour are required. For large, complex software packages, this task becomes time consuming and requires specialist knowledge, yet the consistency and correctness still cannot be guaranteed. My research studied the types of knowledge required and agents involved in the PDS customisation. The work also identified the associated problems and constraints. A solution is proposed and implemented as an Intelligent Assistant prototype than a manual approach. Three areas of achievement have been highlighted: 1. The characteristics and problems of maintaining parameter instances in a PDS are defined. It is found that the verification is not complete with the technical/structural knowledge alone, but a context is necessary to provide semantic information and related business activities (thus the implemented parameters) so that mainline functions can relate with each other. 2. A knowledge-based modelling approach has been proposed and demonstrated via a practical implementation. A Specification Language was designed which can model various types of knowledge in a PDS and encapsulate relationships. The Knowledge-Based System (KBS) developed verifies parameters based on the interpreted model of a given context. 3. The performance of the Intelligent Assistant prototype was well received by the domain specialist from the participating organisation. The modelling and KBS approach developed in my research offers considerable promise in solving practical problems in the software industry.
APA, Harvard, Vancouver, ISO, and other styles
2

Abou, Jaoude Dany. "Computationally Driven Algorithms for Distributed Control of Complex Systems." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/85965.

Full text
Abstract:
This dissertation studies the model reduction and distributed control problems for interconnected systems, i.e., systems that consist of multiple interacting agents/subsystems. The study of the analysis and synthesis problems for interconnected systems is motivated by the multiple applications that can benefit from the design and implementation of distributed controllers. These applications include automated highway systems and formation flight of unmanned aircraft systems. The systems of interest are modeled using arbitrary directed graphs, where the subsystems correspond to the nodes, and the interconnections between the subsystems are described using the directed edges. In addition to the states of the subsystems, the adopted frameworks also model the interconnections between the subsystems as spatial states. Each agent/subsystem is assumed to have its own actuating and sensing capabilities. These capabilities are leveraged in order to design a controller subsystem for each plant subsystem. In the distributed control paradigm, the controller subsystems interact over the same interconnection structure as the plant subsystems. The models assumed for the subsystems are linear time-varying or linear parameter-varying. Linear time-varying models are useful for describing nonlinear equations that are linearized about prespecified trajectories, and linear parameter-varying models allow for capturing the nonlinearities of the agents, while still being amenable to control using linear techniques. It is clear from the above description that the size of the model for an interconnected system increases with the number of subsystems and the complexity of the interconnection structure. This motivates the development of model reduction techniques to rigorously reduce the size of the given model. In particular, this dissertation presents structure-preserving techniques for model reduction, i.e., techniques that guarantee that the interpretation of each state is retained in the reduced order system. Namely, the sought reduced order system is an interconnected system formed by reduced order subsystems that are interconnected over the same interconnection structure as that of the full order system. Model reduction is important for reducing the computational complexity of the system analysis and control synthesis problems. In this dissertation, interior point methods are extensively used for solving the semidefinite programming problems that arise in analysis and synthesis.
Ph. D.
The work in this dissertation is motivated by the numerous applications in which multiple agents interact and cooperate to perform a coordinated task. Examples of such applications include automated highway systems and formation flight of unmanned aircraft systems. For instance, one can think of the hazardous conditions created by a fire in a building and the benefits of using multiple interacting multirotors to deal with this emergency situation and reduce the risks on humans. This dissertation develops mathematical tools for studying and dealing with these complex systems. Namely, it is shown how controllers can be designed to ensure that such systems perform in the desired way, and how the models that describe the systems of interest can be systematically simplified to facilitate performing the tasks of mathematical analysis and control design.
APA, Harvard, Vancouver, ISO, and other styles
3

Natarajan, Vishwanath. "Self-healing RF SoCs: low cost built-in test and control driven simultaneous tuning of multiple performance metrics." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37165.

Full text
Abstract:
The advent of deep submicron technology coupled with ever increasing demands from the customer for more functionality on a compact silicon real estate has led to a proliferation of highly complex integrated RF system-on-chip (SoC) and system-on-insulator (SoI) solutions. The use of scaled CMOS technologies for high frequency wireless applications is posing daunting technological challenges both in design and manufacturing test. To ensure market success, manufacturers need to ensure the quality of these advanced RF devices by subjecting them to a conventional set of production test routines that are both time consuming and expensive. Typically the devices are tested for parametric specifications such as gain, linearity metrics, quadrature mismatches, phase noise, noise figure (NF) and end-to-end system level specifications such as EVM (error vector magnitude), BER (bit-error-rate) etc. Due to the reduced visibility imposed by high levels of integration, testing for parametric specifications are becoming more and more complex. To offset the yield loss resulting from process variability effects and reliability issues in RF circuits, the use of self-healing/self-tuning mechanisms will be imperative. Such self-healing is typically implemented as a test/self-test and self-tune procedure and is applied post-manufacture. To enable this, simple test routines that can accurately diagnose complex performance parameters of the RF circuits need to be developed first. After diagnosing the performance of a complex RF system appropriate compensation techniques need to be developed to increase or restore the system performance. Moreover, the test, diagnosis and compensation approach should be low-cost with minimal hardware and software overhead to ensure that the final product is economically viable for the manufacturer. The main components of the thesis are as follows: 1) Low-cost specification testing of advanced radio frequency front-ends: Methodologies are developed to address the issue of test cost and test time associated with conventional production testing of advanced RF front-ends. The developed methodologies are amenable for performing self healing of RF SoCs. Test generation algorithms are developed to perform alternate test stimulus generation that includes the artifacts of test signal path such as response capture accuracy, load-board DfT etc. A novel cross loop-back methodology is developed to perform low cost system level specification testing of multi-band RF transceivers. A novel low-cost EVM testing approach is developed for production testing of wireless 802.11 OFDM front-ends. A signal transformation based model extraction technique is developed to compute multiple RF system level specifications of wireless front-ends from a single data capture. The developed techniques are low-cost and facilitate a reduction in the overall contribution of test cost towards the manufacturing cost of advanced wireless products. 2)Analog tuning methodologies for compensating wireless RF front ends: Methodologies for performing low-cost self tuning of multiple impairments of wireless RF devices are developed. This research considers for the first time, multiple analog tuning parameters of a complete RF transceiver system (transmitter and receiver) for tuning purposes. The developed techniques are demonstrated on hardware components and behavioral models to improve the overall yield of integrated RF SoCs.
APA, Harvard, Vancouver, ISO, and other styles
4

Horng, Rong-Hwang, and 洪榮煌. "Parameter Identification and Micro-Scale Position control of the Linear-Motor-Driven Motion System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/82804270512091526882.

Full text
Abstract:
博士
國立交通大學
機械工程系所
94
Linear-motor-driven motion systems are becoming popular in recent years due to its simple structure and absence of flexible coupling. In this dissertation, the parameters of a linear-motor-driven motion system, such as the inertia, viscous damping coefficient, and Coulomb friction, can be identified more quickly and accurately by using disturbance observer. If the motion table is operated in the presliding region, the bristle deflection of the system is almost equal to the movement of the motion table. A linearized micro-scale model of the motion system is also proposed in this study. The parameters of the linearized model are obtained from a PRBS testing signal experiment. A micro-scale controller is designed based on the linearized micro-scale model, and by contrast, based on macro-scale model, three macro-scale controllers are designed. Comparing to the tracking and positioning experiments of the micro-scale controller and three macro-scale controllers, we obtain that the tracking and positioning error are about 1 BLU, 20nm by using the micro-scale controller under nanometer scale trajectory. For speeding up the positioning performance under macro-scale positioning movement, a two-stage controller switching algorithm from a macro-scale controller to a micro-scale controller is proposed in this study. As the motion near the desired target, the controller is smoothly switched from the macro-scale controller to the micro-scale controller. The choice of the switching condition can be the trade-off of the maximum position error (overshoot) and the settling time. In our experiment results, it totally takes at most 0.394 second for the motion table to reach the target position of 1000µm with the positioning accuracy of one BLU, 20nm. If we use the bumpless switching algorithm to switch two controllers, it totally takes at least 0.280 second for the motion table to reach the target position of 1000µm with the positioning accuracy of one BLU, 20nm and no overshoot phenomenon during switching. After a large scale positioning movement, using the micro-scale controller under micro-scale trajectories still has the best tracking performance within one BLU, 20nm.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Parameter-driven systems"

1

Tindel, Samy, and Iván Torrecilla. "Some Differential Systems Driven by a fBm with Hurst Parameter Greater than 1/4." In Springer Proceedings in Mathematics & Statistics, 169–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29982-7_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Wasilewski, Grzegorz, Grzegorz Kudra, Jan Awrejcewicz, Maciej Kaźmierczak, Mateusz Tyborowski, and Marek Kaźmierczak. "A Pendulum Driven by a Crank-Shaft-Slider Mechanism and a DC Motor—Mathematical Modeling, Parameter Identification, and Experimental Validation of Bifurcational Dynamics." In Dynamical Systems: Theoretical and Experimental Analysis, 385–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42408-8_31.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Madankan, Reza, Puneet Singla, and Tarunraj Singh. "Parameter Estimation of Atmospheric Release Incidents Using Maximal Information Collection." In Dynamic Data-Driven Environmental Systems Science, 310–21. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25138-7_28.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Gharamti, Mohamad E., Boujemaa Ait-El-Fquih, and Ibrahim Hoteit. "A One-Step-Ahead Smoothing-Based Joint Ensemble Kalman Filter for State-Parameter Estimation of Hydrological Models." In Dynamic Data-Driven Environmental Systems Science, 207–14. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25138-7_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Lu, Hongrun, Bingshan Hu, Hongliu Yu, Tong Ma, and Xinran Zhang. "Parameter Optimization Design of a Cable-Driven Bionic Muscle Mechanism Based on Hill Muscle Model for Flexible Upper Limb-Assisted Exoskeleton." In Man-Machine-Environment System Engineering, 263–71. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6978-4_32.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Halimah, B. Z., A. Azlina, T. M. Sembok, I. Sufian, M. N. Sharul Azman, A. B. Azuraliza, A. O. Zulaiha, et al. "Multi-tiered S-SOA, Parameter-Driven New Islamic Syariah Products of Holistic Islamic Banking System (HiCORE): Virtual Banking Environment." In Lecture Notes in Computer Science, 288–301. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05036-7_28.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Koß, Daniel. "Parameter-driven Handover Interfaces of Safety-related Design Toolchains." In Autonomous Systems 2017, 257. VDI Verlag, 2017. http://dx.doi.org/10.51202/9783186857101-257.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Xie, Weiguo, Ioannis Bonis, and Constantinos Theodoropoulos. "Linear MPC based on data-driven Artificial Neural Networks for large-scale nonlinear distributed parameter systems." In Computer Aided Chemical Engineering, 1212–16. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-444-59520-1.50101-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Lopes, Maria João, Eugénio M. Rocha, Petia Georgieva Georgieva, and Nelson Ferreira. "General Model for Metrics Calculation and Behavior Prediction in the Manufacturing Industry." In Advances in Business Information Systems and Analytics, 263–90. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6985-6.ch012.

Full text
Abstract:
In this chapter, a comprehensive description of a generic framework aimed at solving various predictive data-driven related use cases, occurring in the manufacturing industry, is provided. The framework is rooted in a general mathematical model so called queue directed graph (QDG). With the aid of QDGs and containerized microservices implementations, the typology of the system is analyzed, and real use cases are explained. The goal is for this framework to be able to be used with all use cases which fit in this typology. As an example, a data generation distribution model is proposed, the parameter stability and predictive robustness are studied, and automated machine learning approaches are discussed to predict the throughput time of products in a manufacturing production line just by knowing the processing time in their first stations.
APA, Harvard, Vancouver, ISO, and other styles
10

Wio, Horacio. "On the Role of Non-Gaussian Noises on Noise-Induced Phenomena." In Nonextensive Entropy. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780195159769.003.0015.

Full text
Abstract:
Most of the studies of noise-induced phenomena assume that the noise source is Gaussian (either white or colored). Here we present recent results of some of those noise-induced phenomena when driven by a noise source taken as colored and non-Gaussian, generated by a nonextensive g-distribution. In all the cases analyzed we have found that the response of the system is strongly affected by a departure of the noise source from the Gaussian behavior, showing an enhancement and/or a marked broadening of the corresponding system's response. The general result is that the value of the parameter q, optimizing the system's response, results in q ≠ 1 (where q = 1 corresponds to a Gaussian distribution). These results are of great relevance for many technological applications as well as for some situations of medical interest, like the noisy control of Wenckebach rhythms…. Fluctuations (or noise) have had a changing role in the history of science. We can identify three different stages. During the a first one, which lasted until the end of nineteenth century, noise was considered a nuisance to be avoided or eliminated. In the second stage, which started at the beginning of the twentieth century, it was possible to extract more information from a physical system through the study of fluctuations via Onsager, fluctuation-dissipation, and other related relations. The third stage corresponds to the last few decades of the twentieth century, with the recognition that in many situations noise can actually play a driving role that induces new phenomena. Some examples are noise-induced phase transitions [18, 27, 28], noise-induced transport [2, 29, 34, 35], stochastic resonance [17], and noise-sustained patterns [18]. Most of the studies on the noise-induced phenomena indicated above assume that the noise source is Gaussian (either white or colored). In addition to the intrinsic interest in the study of non-Gaussian noises, there is some experimental evidence, particularly in sensory and biological systems [3, 16, 20, 30, 32, 39], indicating that in at least some of these phenomena the noise sources could be non-Gaussian. The use of non-Gaussian noises in such studies is rare, mainly due to the difficulties of handling them and to the possibility of obtaining some analytical results when working with Gaussian (particularly white) noises.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Parameter-driven systems"

1

Butcher, Mark, Alireza Karimi, and Roland Longchamp. "Data-driven precompensator tuning for linear parameter varying systems." In 2008 47th IEEE Conference on Decision and Control. IEEE, 2008. http://dx.doi.org/10.1109/cdc.2008.4739190.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Formentin, Simone, Dario Piga, Roland Toth, and Sergio M. Savaresi. "Direct data-driven control of linear parameter-varying systems." In 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). IEEE, 2013. http://dx.doi.org/10.1109/cdc.2013.6760519.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Tushar, Shikhar Pandey, Anurag K. Srivastava, Penn Markham, Navin Bhatt, and Mahendra Patel. "Data-driven parameter estimation of steady-state load models." In 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2016. http://dx.doi.org/10.1109/pedes.2016.7914501.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Banerjee, P., Syed M. H. Rizvi, Anurag K. Srivastava, Penn Markham, and Mahendra Patel. "Data-Driven Static Load Model Parameter Estimation with Confidence Factor." In 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2018. http://dx.doi.org/10.1109/pmaps.2018.8440433.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Azad, Sahar Pirooz, and Joseph Euzebe Tate. "Parameter estimation of doubly fed induction generator driven by wind turbine." In 2011 IEEE/PES Power Systems Conference and Exposition (PSCE). IEEE, 2011. http://dx.doi.org/10.1109/psce.2011.5772553.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Pei, Zhili, Jin Chen, Mingyang Jiang, Jingqing Jiang, Qinghu Wang, Yang Song, and Ming Zhao. "Researchment of metadata-driven based informatization strategy of parameter' life cycle management." In 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS). IEEE, 2017. http://dx.doi.org/10.1109/acirs.2017.7986075.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Yosui, K., M. Wakahara, Y. Nakada, and T. Matsumoto. "Information driven parameter dynamics on-line Bayesian learning with sequential Monte Carlo." In 2005 International Symposium on Intelligent Signal Processing and Communication Systems. IEEE, 2005. http://dx.doi.org/10.1109/ispacs.2005.1595425.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Liu, Lanlan, Xisheng Dai, Weijie Zhang, and Fan Zhang. "A Data-Driven Model of Optimal Iterative Learning Control for Distributed Parameter Systems." In 2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS). IEEE, 2018. http://dx.doi.org/10.1109/iccss.2018.8572311.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kong, Minyue, Dan Sun, Jing He, and Heng Nian. "Control Parameter Identification in Grid-side Converter of Directly Driven Wind Turbine Systems." In 2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2020. http://dx.doi.org/10.1109/appeec48164.2020.9220436.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Huang, Weicai, Kaiming Yang, Yu Zhu, and Sen Lu. "Data-Driven Feedforward Tuning Approach for LPV Motion Systems." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11203.

Full text
Abstract:
Abstract This paper aims to develop a new data-driven feedforward tuning approach to achieve high performance for linear parameter varying (LPV) motion systems. In the proposed approach, the feedforward controller is linearly parameterized with polynomial basis functions and parameter varying coefficients. Gauss-Newton Method is exploited to solve the corresponding parameter optimization problem. Parameter perturbing experiments are employed to estimate the gradient. The truncated singular value decomposition (SVD) method is adopted to deal with the ill-conditioned matrix inversion problem. No parametric model is required throughout the tuning process. Simulations are conducted to test the performance of the proposed approach. And the results indicate that the parameter varying dynamics of the plant are well compensated by the proposed approach.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Parameter-driven systems' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography