Iterative Learning Control For Network Systems Under Constrained Information Communication


Iterative Learning Control For Network Systems Under Constrained Information Communication
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Iterative Learning Control For Network Systems Under Constrained Information Communication


Iterative Learning Control For Network Systems Under Constrained Information Communication
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Author : Wenjun Xiong
language : en
Publisher: Springer Nature
Release Date :

Iterative Learning Control For Network Systems Under Constrained Information Communication written by Wenjun Xiong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Iterative Learning Control With Passive Incomplete Information


Iterative Learning Control With Passive Incomplete Information
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Author : Dong Shen
language : en
Publisher:
Release Date : 2018

Iterative Learning Control With Passive Incomplete Information written by Dong Shen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Intelligent control systems categories.


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.



Iterative Learning Control For Multi Agent Systems Coordination


Iterative Learning Control For Multi Agent Systems Coordination
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Author : Shiping Yang
language : en
Publisher: John Wiley & Sons
Release Date : 2017-03-08

Iterative Learning Control For Multi Agent Systems Coordination written by Shiping Yang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-08 with Technology & Engineering categories.


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



Networked Predictive Control Of Systems With Communication Constraints And Cyber Attacks


Networked Predictive Control Of Systems With Communication Constraints And Cyber Attacks
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Author : Zhong-Hua Pang
language : en
Publisher: Springer
Release Date : 2018-06-12

Networked Predictive Control Of Systems With Communication Constraints And Cyber Attacks written by Zhong-Hua Pang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-12 with Technology & Engineering categories.


This book presents the latest results on predictive control of networked systems, where communication constraints (e.g., network-induced delays and packet dropouts) and cyber attacks (e.g., deception attacks and denial-of-service attacks) are considered. For the former, it proposes several networked predictive control (NPC) methods based on input-output models and state-space models respectively. For the latter, it designs secure NPC schemes from the perspectives of information security and real-time control. Furthermore, it uses practical experiments to demonstrate the effectiveness and applicability of all the methods, bridging the gap between control theory and practical applications. The book is of interest to academic researchers, R&D engineers, and graduate students in control engineering, networked control systems and cyber-physical systems.



Iterative Learning Control With Passive Incomplete Information


Iterative Learning Control With Passive Incomplete Information
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Author : Dong Shen
language : en
Publisher: Springer
Release Date : 2018-04-16

Iterative Learning Control With Passive Incomplete Information written by Dong Shen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-16 with Technology & Engineering categories.


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.



Recursive Filtering For 2 D Shift Varying Systems With Communication Constraints


Recursive Filtering For 2 D Shift Varying Systems With Communication Constraints
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Author : Jinling Liang
language : en
Publisher: CRC Press
Release Date : 2021-09-06

Recursive Filtering For 2 D Shift Varying Systems With Communication Constraints written by Jinling Liang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-06 with Computers categories.


This book presents up-to-date research developments and novel methodologies regarding recursive filtering for 2-D shift-varying systems with various communication constraints. It investigates recursive filter/estimator design and performance analysis by a combination of intensive stochastic analysis, recursive Riccati-like equations, variance-constrained approach, and mathematical induction. Each chapter considers dynamics of the system, subtle design of filter gains, and effects of the communication constraints on filtering performance. Effectiveness of the derived theories and applicability of the developed filtering strategies are illustrated via simulation examples and practical insight. Features:- Covers recent advances of recursive filtering for 2-D shift-varying systems subjected to communication constraints from the engineering perspective. Includes the recursive filter design, resilience operation and performance analysis for the considered 2-D shift-varying systems. Captures the essence of the design for 2-D recursive filters. Develops a series of latest results about the robust Kalman filtering and protocol-based filtering. Analyzes recursive filter design and filtering performance for the considered systems. This book aims at graduate students and researchers in mechanical engineering, industrial engineering, communications networks, applied mathematics, robotics and control systems.



Knowledge Based Intelligent Information And Engineering Systems


Knowledge Based Intelligent Information And Engineering Systems
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Author : Rajiv Khosla
language : en
Publisher: Springer
Release Date : 2005-08-25

Knowledge Based Intelligent Information And Engineering Systems written by Rajiv Khosla and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-25 with Computers categories.


... welcome to the proceedings of the 9th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems hosted by La Trobe University in Melbourne, Australia.



Control And Scheduling Codesign


Control And Scheduling Codesign
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Author : Feng Xia
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-10-11

Control And Scheduling Codesign written by Feng Xia and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-11 with Technology & Engineering categories.


With emphasis on flexible resource management in networked and embedded real-time control systems operating in dynamic environments with uncertainty, this book is devoted to the integration of control with computing and communication. It covers the authors' recent and original research results within a unified framework of feedback scheduling. This useful reference also includes rich example problems, case studies, and extensive references to the literature.



Iterative Learning Control Over Random Fading Channels


Iterative Learning Control Over Random Fading Channels
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Author : Dong Shen
language : en
Publisher: CRC Press
Release Date : 2023-12-22

Iterative Learning Control Over Random Fading Channels written by Dong Shen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 with Computers categories.


Random fading communication is a type of attenuation damage of data over certain propagation media. Establishing a systematic framework for the design and analysis of learning control schemes, the book studies in depth the iterative learning control for stochastic systems with random fading communication. The authors introduce both cases where the statistics of the random fading channels are known in advance and unknown. They then extend the framework to other systems, including multi-agent systems, point-to-point tracking systems, and multi-sensor systems. More importantly, a learning control scheme is established to solve the multi-objective tracking problem with faded measurements, which can help practical applications of learning control for high-precision tracking of networked systems. The book will be of interest to researchers and engineers interested in learning control, data-driven control, and networked control systems.



Iterative Learning Control For Systems With Iteration Varying Trial Lengths


Iterative Learning Control For Systems With Iteration Varying Trial Lengths
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Author : Dong Shen
language : en
Publisher:
Release Date : 2019

Iterative Learning Control For Systems With Iteration Varying Trial Lengths written by Dong Shen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Algorithms categories.


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.