Iterative Learning Control With Passive Incomplete Information

Author : Dong Shen
Publisher : Unknown
Page : 128 pages
File Size : 51,7 Mb
Release : 2018
Category : Intelligent control systems
ISBN : 9811082685

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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 : Dong Shen
Publisher : Springer
Page : 294 pages
File Size : 53,6 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 : Zhiyong Zheng
Publisher : Springer Nature
Page : 238 pages
File Size : 46,9 Mb
Release : 2021-02-08
Category : Business & Economics
ISBN : 9789811583735

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Proceedings of the First International Forum on Financial Mathematics and Financial Technology by Zhiyong Zheng Pdf

This book contains high-quality papers presented at the First International Forum on Financial Mathematics and Financial Technology. With the rapid development of FinTech, the in-depth integration between mathematics, finance and advanced technology is the general trend. This book focuses on selected aspects of the current and upcoming trends in FinTech. In detail, the included scientific papers focus on financial mathematics and FinTech, presenting the innovative mathematical models and state-of-the-art technologies such as deep learning, with the aim to improve our financial analysis and decision-making and enhance the quality of financial services and risk control. The variety of the papers delivers added value for both scholars and practitioners where they will find perfect integration of elegant mathematical models and up-to-date data mining technologies in financial market analysis.

Author : Dong Shen,Xuefang Li
Publisher : Springer
Page : 256 pages
File Size : 55,9 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 : Ronghu Chi,Yu Hui,Zhongsheng Hou
Publisher : Springer Nature
Page : 239 pages
File Size : 54,7 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 : Zeungnam Bien,Jian-Xin Xu
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 55,7 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461556299

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Iterative Learning Control by Zeungnam Bien,Jian-Xin Xu Pdf

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 : Hyo-Sung Ahn,Kevin L. Moore,YangQuan Chen
Publisher : Springer Science & Business Media
Page : 237 pages
File Size : 48,8 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.

Author : Jian-Xin Xu,Sanjib K. Panda,Tong Heng Lee
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 46,5 Mb
Release : 2008-12-12
Category : Technology & Engineering
ISBN : 9781848821750

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Real-time Iterative Learning Control by Jian-Xin Xu,Sanjib K. Panda,Tong Heng Lee Pdf

Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The book gives a systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in linear and nonlinear plants pervading mechatronics and batch processes are addressed, in particular: ILC design in the continuous- and discrete-time domains; design in the frequency and time domains; design with problem-specific performance objectives including robustness and optimality; design in a modular approach by integration with other control techniques; and design by means of classical tools based on Bode plots and state space.

Author : Wenjun Xiong
Publisher : Springer Nature
Page : 229 pages
File Size : 50,8 Mb
Release : 2024-06-19
Category : Electronic
ISBN : 9789819709267

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

Author : Kevin L. Moore
Publisher : Springer Science & Business Media
Page : 158 pages
File Size : 55,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447119128

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Iterative Learning Control for Deterministic Systems by Kevin L. Moore Pdf

The material presented in this book addresses the analysis and design of learning control systems. It begins with an introduction to the concept of learning control, including a comprehensive literature review. The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem. Additionally, several design methods are given for LTI learning control, incorporating a technique based on parameter estimation and a one-step learning control algorithm for finite-horizon problems. Further chapters focus upon learning control for deterministic nonlinear systems, and a time-varying learning controller is presented which can be applied to a class of nonlinear systems, including the models of typical robotic manipulators. The book concludes with the application of artificial neural networks to the learning control problem. Three specific ways to neural nets for this purpose are discussed, including two methods which use backpropagation training and reinforcement learning. The appendices in the book are particularly useful because they serve as a tutorial on artificial neural networks.

Author : Pierre Flener
Publisher : Springer Science & Business Media
Page : 258 pages
File Size : 42,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461522058

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Logic Program Synthesis from Incomplete Information by Pierre Flener Pdf

Program synthesis is a solution to the software crisis. If we had a program that develops correct programs from specifications, then program validation and maintenance would disappear from the software life-cycle, and one could focus on the more creative tasks of specification elaboration, validation, and maintenance, because replay of program development would be less costly. This monograph describes a novel approach to Inductive Logic Programming (ILP), which cross-fertilizes logic programming and machine learning. Aiming at the synthesis of recursive logic programs only, and this from incomplete information, we take a software engineering approach that is more appropriate than a pure artificial intelligence approach. This book is suitable as a secondary text for graduate level courses in software engineering and artificial intelligence, and as a reference for practitioners of program synthesis.

Author : Jianming Wei,Hong Wang,Fang Liu
Publisher : Springer Nature
Page : 185 pages
File Size : 46,9 Mb
Release : 2023-01-01
Category : Technology & Engineering
ISBN : 9789811963179

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Iterative Learning Control for Nonlinear Time-Delay System by Jianming Wei,Hong Wang,Fang Liu Pdf

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 : Shiping Yang,Jian-Xin Xu,Xuefang Li,Dong Shen
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 51,5 Mb
Release : 2017-03-08
Category : Technology & Engineering
ISBN : 9781119189077

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Iterative Learning Control for Multi-agent Systems Coordination by Shiping Yang,Jian-Xin Xu,Xuefang Li,Dong Shen Pdf

A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS) Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processes Covers basic theory, rigorous mathematics as well as engineering practice

Author : Kevin L. Moore
Publisher : Unknown
Page : 181 pages
File Size : 41,7 Mb
Release : 2000
Category : Intelligent control systems
ISBN : OCLC:45028513

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Iterative Learning Control by Kevin L. Moore Pdf

Author : Yangquan Chen,Changyun Wen
Publisher : Springer
Page : 204 pages
File Size : 50,6 Mb
Release : 2014-03-12
Category : Technology & Engineering
ISBN : 1447139658

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Iterative Learning Control by Yangquan Chen,Changyun Wen Pdf

This book provides readers with a comprehensive coverage of iterative learning control. The book can be used as a text or reference for a course at graduate level and is also suitable for self-study and for industry-oriented courses of continuing education. Ranging from aerodynamic curve identification robotics to functional neuromuscular stimulation, Iterative Learning Control (ILC), started in the early 80s, is found to have wide applications in practice. Generally, a system under control may have uncertainties in its dynamic model and its environment. One attractive point in ILC lies in the utilisation of the system repetitiveness to reduce such uncertainties and in turn to improve the control performance by operating the system repeatedly. This monograph emphasises both theoretical and practical aspects of ILC. It provides some recent developments in ILC convergence and robustness analysis. The book also considers issues in ILC design. Several practical applications are presented to illustrate the effectiveness of ILC. The applied examples provided in this monograph are particularly beneficial to readers who wish to capitalise the system repetitiveness to improve system control performance.