Data Driven Iterative Learning Control For Discrete Time Systems

Author : Ronghu Chi,Yu Hui,Zhongsheng Hou
Publisher : Springer Nature
Page : 239 pages
File Size : 51,8 Mb
Release : 2022-11-15
Category : Technology & Engineering
ISBN : 9789811959509

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Data-Driven Iterative Learning Control for Discrete-Time Systems by Ronghu Chi,Yu Hui,Zhongsheng Hou Pdf

This book belongs to the subject of control and systems theory. It studies a novel data-driven framework for the design and analysis of iterative learning control (ILC) for nonlinear discrete-time systems. A series of iterative dynamic linearization methods is discussed firstly to build a linear data mapping with respect of the system’s output and input between two consecutive iterations. On this basis, this work presents a series of data-driven ILC (DDILC) approaches with rigorous analysis. After that, this work also conducts significant extensions to the cases with incomplete data information, specified point tracking, higher order law, system constraint, nonrepetitive uncertainty, and event-triggered strategy to facilitate the real applications. The readers can learn the recent progress on DDILC for complex systems in practical applications. This book is intended for academic scholars, engineers, and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.

Author : Ronghu Chi,Na Lin,Huimin Zhang,Ruikun Zhang
Publisher : Springer Nature
Page : 211 pages
File Size : 46,7 Mb
Release : 2022-03-21
Category : Technology & Engineering
ISBN : 9789811904646

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Discrete-Time Adaptive Iterative Learning Control by Ronghu Chi,Na Lin,Huimin Zhang,Ruikun Zhang Pdf

This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various applications. This book is intended for academic scholars, engineers and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.

Author : Wenjun Xiong
Publisher : Springer Nature
Page : 229 pages
File Size : 50,6 Mb
Release : 2024-06-26
Category : Electronic
ISBN : 9789819709267

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Iterative Learning Control for Network Systems Under Constrained Information Communication by Wenjun Xiong Pdf

Author : Zhongsheng Hou,Shangtai Jin
Publisher : CRC Press
Page : 400 pages
File Size : 42,5 Mb
Release : 2013-09-24
Category : Technology & Engineering
ISBN : 9781466594180

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Model Free Adaptive Control by Zhongsheng Hou,Shangtai Jin Pdf

Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the controlled plant, which makes it more applicable for many practical plants. This book covers new concepts, including pseudo partial derivative, pseudo gradient, pseudo Jacobian matrix, and generalized Lipschitz conditions, etc.; dynamic linearization approaches for nonlinear systems, such as compact-form dynamic linearization, partial-form dynamic linearization, and full-form dynamic linearization; a series of control system design methods, including MFAC prototype, model-free adaptive predictive control, model-free adaptive iterative learning control, and the corresponding stability analysis and typical applications in practice. In addition, some other important issues related to MFAC are also discussed. They are the MFAC for complex connected systems, the modularized controller designs between MFAC and other control methods, the robustness of MFAC, and the symmetric similarity for adaptive control system design. The book is written for researchers who are interested in control theory and control engineering, senior undergraduates and graduated students in engineering and applied sciences, as well as professional engineers in process control.

Author : Dong Shen,Xuefang Li
Publisher : Springer
Page : 256 pages
File Size : 50,8 Mb
Release : 2019-01-29
Category : Technology & Engineering
ISBN : 9789811361364

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Iterative Learning Control for Systems with Iteration-Varying Trial Lengths by Dong Shen,Xuefang Li Pdf

This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might randomly vary from iteration to iteration. The iteration-varying trial lengths may be different from the desired trial length, which can cause redundancy or dropouts of control information in ILC, making ILC design a challenging problem. The book focuses on the synthesis and analysis of ILC for both linear and nonlinear systems with iteration-varying trial lengths, and proposes various novel techniques to deal with the precise tracking problem under non-repeatable trial lengths, such as moving window, switching system, and searching-based moving average operator. It not only discusses recent advances in ILC for systems with iteration-varying trial lengths, but also includes numerous intuitive figures to allow readers to develop an in-depth understanding of the intrinsic relationship between the incomplete information environment and the essential tracking performance. This book is intended for academic scholars and engineers who are interested in learning about control, data-driven control, networked control systems, and related fields. It is also a useful resource for graduate students in the above field.

Author : Ding Wang,Mingming Ha,Mingming Zhao
Publisher : Springer Nature
Page : 283 pages
File Size : 54,6 Mb
Release : 2023-01-21
Category : Technology & Engineering
ISBN : 9789811972911

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Advanced Optimal Control and Applications Involving Critic Intelligence by Ding Wang,Mingming Ha,Mingming Zhao Pdf

This book intends to report new optimal control results with critic intelligence for complex discrete-time systems, which covers the novel control theory, advanced control methods, and typical applications for wastewater treatment systems. Therein, combining with artificial intelligence techniques, such as neural networks and reinforcement learning, the novel intelligent critic control theory as well as a series of advanced optimal regulation and trajectory tracking strategies are established for discrete-time nonlinear systems, followed by application verifications to complex wastewater treatment processes. Consequently, developing such kind of critic intelligence approaches is of great significance for nonlinear optimization and wastewater recycling. The book is likely to be of interest to researchers and practitioners as well as graduate students in automation, computer science, and process industry who wish to learn core principles, methods, algorithms, and applications in the field of intelligent optimal control. It is beneficial to promote the development of intelligent optimal control approaches and the construction of high-level intelligent systems.

Author : Qiongxia Yu,Ting Lei,Fengchen Tian,Zhongsheng Hou,Xuhui Bu
Publisher : Springer Nature
Page : 219 pages
File Size : 48,5 Mb
Release : 2023-02-17
Category : Technology & Engineering
ISBN : 9789811988578

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Predictive Learning Control for Unknown Nonaffine Nonlinear Systems by Qiongxia Yu,Ting Lei,Fengchen Tian,Zhongsheng Hou,Xuhui Bu Pdf

This book investigates both theory and various applications of predictive learning control (PLC) which is an advanced technology for complex nonlinear systems. To avoid the difficult modeling problem for complex nonlinear systems, this book begins with the design and theoretical analysis of PLC method without using mechanism model information of the system, and then a series of PLC methods is designed that can cope with system constraints, varying trial lengths, unknown time delay, and available and unavailable system states sequentially. Applications of the PLC on both railway and urban road transportation systems are also studied. The book is intended for researchers, engineers, and graduate students who are interested in predictive control, learning control, intelligent transportation systems and related fields.

Author : Hassan Haes Alhelou,Nikos Hatziargyriou,Zhao Yang Dong
Publisher : Springer Nature
Page : 463 pages
File Size : 45,8 Mb
Release : 2023-03-12
Category : Technology & Engineering
ISBN : 9783031203602

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Power Systems Cybersecurity by Hassan Haes Alhelou,Nikos Hatziargyriou,Zhao Yang Dong Pdf

This book covers power systems cybersecurity. In order to enhance overall stability and security in wide-area cyber-physical power systems and defend against cyberattacks, new resilient operation, control, and protection methods are required. The cyberattack-resilient control methods improve overall cybersecurity and stability in normal and abnormal operating conditions. By contrast, cyberattack-resilient protection schemes are important to keep the secure operation of a system under the most severe contingencies and cyberattacks. The main subjects covered in the book are: 1) proposing new tolerant and cyberattack-resilient control and protection methods against cyberattacks for future power systems, 2) suggesting new methods for cyberattack detection and cybersecurity assessment, and 3) focusing on practical issues in modern power systems.

Author : Jinrong Wang,Michal Feckan,Mengmeng Li
Publisher : Elsevier
Page : 332 pages
File Size : 47,9 Mb
Release : 2022-11-26
Category : Technology & Engineering
ISBN : 9780323997935

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Stability and Controls Analysis for Delay Systems by Jinrong Wang,Michal Feckan,Mengmeng Li Pdf

Stability and Controls Analysis for Delay Systems is devoted to stability, controllability and iterative learning control (ILC) to delay systems, including first order system, oscillating systems, impulsive systems, fractional systems, difference systems and stochastic systems raised from physics, biology, population dynamics, ecology and economics, currently not presented in other books on conventional fields. Delayed exponential matrix function approach is widely used to derive the representation and stability of the solutions and the controllability. ILC design are also established, which can be regarded as a way to find the control function. The broad variety of achieved results with rigorous proofs and many numerical examples make this book unique. Presents the representation and stability of solutions via the delayed exponential matrix function approach Gives useful sufficient conditions to guarantee controllability Establishes ILC design and focuses on new systems such as the first order system, oscillating systems, impulsive systems, fractional systems, difference systems and stochastic systems raised from various subjects

Author : Radu-Emil Precup,Raul-Cristian Roman,Ali Safaei
Publisher : CRC Press
Page : 408 pages
File Size : 44,6 Mb
Release : 2021-12-27
Category : Technology & Engineering
ISBN : 9781000519631

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Data-Driven Model-Free Controllers by Radu-Emil Precup,Raul-Cristian Roman,Ali Safaei Pdf

This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, gives the in-depth theory and mathematical proofs behind them, and finally discusses their applications. Each chapter includes a section for presenting the theory and mathematical definitions of one of the above mentioned algorithms. The second section of each chapter is dedicated to the examples and applications of the corresponding control algorithms in practical engineering problems. This book proposes to avoid complex mathematical equations, being generic as it includes several types of data-driven model-free controllers, such as Iterative Feedback Tuning controllers, Model-Free Controllers (intelligent PID controllers), Model-Free Adaptive Controllers, model-free sliding mode controllers, hybrid model‐free and model‐free adaptive‐Virtual Reference Feedback Tuning controllers, hybrid model-free and model-free adaptive fuzzy controllers and cooperative model-free controllers. The book includes the topic of optimal model-free controllers, as well. The optimal tuning of model-free controllers is treated in the chapters that deal with Iterative Feedback Tuning and Virtual Reference Feedback Tuning. Moreover, the extension of some model-free control algorithms to the consensus and formation-tracking problem of multi-agent dynamic systems is provided. This book can be considered as a textbook for undergraduate and postgraduate students, as well as a professional reference for industrial and academic researchers, attracting the readers from both industry and academia.

Author : Dong Shen
Publisher : Springer
Page : 294 pages
File Size : 40,6 Mb
Release : 2018-04-16
Category : Technology & Engineering
ISBN : 9789811082672

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Iterative Learning Control with Passive Incomplete Information by Dong Shen Pdf

This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.—a cutting-edge topic in connection with the practical applications of ILC. It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model—for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomplete information environments include random data dropout, random communication delay, random iteration-varying lengths, and other communication constraints. With numerous intuitive figures to make the content more accessible, the book explores several potential solutions to this topic, ensuring that readers are not only introduced to the latest advances in ILC for systems with random factors, but also gain an in-depth understanding of the intrinsic relationship between incomplete information environments and essential tracking performance. It is a valuable resource for academics and engineers, as well as graduate students who are interested in learning about control, data-driven control, networked control systems, and related fields.

Author : Qing Wang
Publisher : Springer Nature
Page : 725 pages
File Size : 40,6 Mb
Release : 2024-06-26
Category : Electronic
ISBN : 9789819733286

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Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control by Qing Wang Pdf

Author : Anonim
Publisher : ScholarlyEditions
Page : 1104 pages
File Size : 55,8 Mb
Release : 2013-05-01
Category : Political Science
ISBN : 9781490109855

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Issues in Industrial Relations and Management: 2013 Edition by Anonim Pdf

Issues in Industrial Relations and Management: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Management Science. The editors have built Issues in Industrial Relations and Management: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Management Science in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Industrial Relations and Management: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Author : Eric Rogers,Bing Chu,Christopher Freeman,Paul Lewin
Publisher : John Wiley & Sons
Page : 454 pages
File Size : 45,8 Mb
Release : 2023-01-12
Category : Technology & Engineering
ISBN : 9781118535370

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Iterative Learning Control Algorithms and Experimental Benchmarking by Eric Rogers,Bing Chu,Christopher Freeman,Paul Lewin Pdf

Iterative Learning CONTROL ALGORITHMS AND EXPERIMENTAL BENCHMARKING Iterative Learning Control Algorithms and Experimental Benchmarking Presents key cutting edge research into the use of iterative learning control The book discusses the main methods of iterative learning control (ILC) and its interactions, as well as comparator performance that is so crucial to the end user. The book provides integrated coverage of the major approaches to-date in terms of basic systems, theoretic properties, design algorithms, and experimentally measured performance, as well as the links with repetitive control and other related areas. Key features: Provides comprehensive coverage of the main approaches to ILC and their relative advantages and disadvantages. Presents the leading research in the field along with experimental benchmarking results. Demonstrates how this approach can extend out from engineering to other areas and, in particular, new research into its use in healthcare systems/rehabilitation robotics. The book is essential reading for researchers and graduate students in iterative learning control, repetitive control and, more generally, control systems theory and its applications.

Author : Hyo-Sung Ahn,Kevin L. Moore,YangQuan Chen
Publisher : Springer Science & Business Media
Page : 237 pages
File Size : 51,5 Mb
Release : 2007-06-28
Category : Technology & Engineering
ISBN : 9781846288593

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Iterative Learning Control by Hyo-Sung Ahn,Kevin L. Moore,YangQuan Chen Pdf

This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. It presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty. The book shows how to use robust iterative learning control in the face of model uncertainty.