Discrete Time Adaptive Iterative Learning Control

Author : Zeungnam Bien
Publisher : Springer
ISBN 13 : 9781461375753
Total Pages : 0 pages
Book Rating : 4.54/5 ( download)

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Download or read book Iterative Learning Control written by Zeungnam Bien and published by Springer. This book was released on 2012-10-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Iterative Learning Control (ILC) differs from most existing control methods in the sense that, it exploits every possibility to incorporate past control informa tion, such as tracking errors and control input signals, into the construction of the present control action. There are two phases in Iterative Learning Control: first the long term memory components are used to store past control infor mation, then the stored control information is fused in a certain manner so as to ensure that the system meets control specifications such as convergence, robustness, etc. It is worth pointing out that, those control specifications may not be easily satisfied by other control methods as they require more prior knowledge of the process in the stage of the controller design. ILC requires much less information of the system variations to yield the desired dynamic be haviors. Due to its simplicity and effectiveness, ILC has received considerable attention and applications in many areas for the past one and half decades. Most contributions have been focused on developing new ILC algorithms with property analysis. Since 1992, the research in ILC has progressed by leaps and bounds. On one hand, substantial work has been conducted and reported in the core area of developing and analyzing new ILC algorithms. On the other hand, researchers have realized that integration of ILC with other control techniques may give rise to better controllers that exhibit desired performance which is impossible by any individual approach.

Author : Ronghu Chi
Publisher : Springer Nature
ISBN 13 : 9811904642
Total Pages : 211 pages
Book Rating : 4.46/5 ( download)

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Download or read book Discrete-Time Adaptive Iterative Learning Control written by Ronghu Chi and published by Springer Nature. This book was released on 2022-03-21 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Ronghu Chi
Publisher : Springer Nature
ISBN 13 : 9811959501
Total Pages : 239 pages
Book Rating : 4.09/5 ( download)

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Download or read book Data-Driven Iterative Learning Control for Discrete-Time Systems written by Ronghu Chi and published by Springer Nature. This book was released on 2022-11-15 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Dong Shen
Publisher : Springer
ISBN 13 : 9789811361357
Total Pages : 256 pages
Book Rating : 4.55/5 ( download)

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Download or read book Iterative Learning Control for Systems with Iteration-Varying Trial Lengths written by Dong Shen and published by Springer. This book was released on 2019-02-14 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Jianming Wei
Publisher : Springer Nature
ISBN 13 : 9811963177
Total Pages : 185 pages
Book Rating : 4.79/5 ( download)

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Download or read book Iterative Learning Control for Nonlinear Time-Delay System written by Jianming Wei and published by Springer Nature. This book was released on 2023-01-01 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on adaptive iterative learning control problem for nonlinear time-delay systems.A universal adaptive learning control scheme is provided for a wide classes of nonlinear systems with time-varying delay and input nonlinearity. Proceeding from easy to difficult, this book deals with the adaptive iterative learning control problems for parameterized nonlinear time-delay systems, non-parameterized nonlinear time-delay systems, nonlinear time-delay systems with unknown control direction and nonlinear time-delay systems with un-measurable states. The proposed control schemes can be extended to the adaptive learning control problem for wider classes of nonlinear systems revelent to abovementioned nonlinear systems.The topics presented in this book are research hot spots of iterative learning control. This book will be a valuable reference for researchers and students working or studying in this area.

Author : Hyo-Sung Ahn
Publisher : Springer Science & Business Media
ISBN 13 : 1846288592
Total Pages : 237 pages
Book Rating : 4.93/5 ( download)

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Download or read book Iterative Learning Control written by Hyo-Sung Ahn and published by Springer Science & Business Media. This book was released on 2007-06-28 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Jian-Xin Xu
Publisher : Springer
ISBN 13 : 3540448454
Total Pages : 177 pages
Book Rating : 4.57/5 ( download)

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Download or read book Linear and Nonlinear Iterative Learning Control written by Jian-Xin Xu and published by Springer. This book was released on 2003-09-04 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph summarizes the recent achievements made in the field of iterative learning control. The book is self-contained in theoretical analysis and can be used as a reference or textbook for a graduate level course as well as for self-study. It opens a new avenue towards a new paradigm in deterministic learning control theory accompanied by detailed examples.

Author : Eric Rogers
Publisher : John Wiley & Sons
ISBN 13 : 1118535375
Total Pages : 454 pages
Book Rating : 4.70/5 ( download)

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Download or read book Iterative Learning Control Algorithms and Experimental Benchmarking written by Eric Rogers and published by John Wiley & Sons. This book was released on 2023-01-12 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Bowen Wang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.10/5 ( download)

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Download or read book Iterative Learning Control and Adaptive Control for Systems with Unstable Discrete-Time Inverse written by Bowen Wang and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Another way to address the often unstable nature of the inverse of non-minimum phase systems is to use the in-house developed stable inverse theory Longman JiLLL, which can also be incorporated into other control algorithms including One-Step Ahead Control and Indirect Adaptive Control in addition to Iterative Learning Control. Using this stable inverse theory, One-Step Ahead Control has been generalized to apply to systems whose discrete-time inverses are unstable. The generalized one-step ahead control can be viewed as a Model Predictive Control that achieves zero tracking error with a control input bounded by the actuator constraints. In situations where one feels not confident about the system model, adaptive control can be applied to update the model parameters while achieving zero tracking error.

Author : Dong Shen
Publisher : Springer
ISBN 13 : 9811082677
Total Pages : 294 pages
Book Rating : 4.72/5 ( download)

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Download or read book Iterative Learning Control with Passive Incomplete Information written by Dong Shen and published by Springer. This book was released on 2018-04-16 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.