Iterative Learning Control for Network Systems Under Constrained Information Communication

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Publisher : Springer Nature
ISBN 13 : 9819709261
Total Pages : 229 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Iterative Learning Control for Network Systems Under Constrained Information Communication by : Wenjun Xiong

Download or read book Iterative Learning Control for Network Systems Under Constrained Information Communication written by Wenjun Xiong and published by Springer Nature. This book was released on with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Iterative Learning Control with Passive Incomplete Information

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Publisher :
ISBN 13 : 9789811082689
Total Pages : pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Iterative Learning Control with Passive Incomplete Information by : Dong Shen

Download or read book Iterative Learning Control with Passive Incomplete Information written by Dong Shen and published by . This book was released on 2018 with total page 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.

Iterative Learning Control for Multi-agent Systems Coordination

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Publisher : John Wiley & Sons
ISBN 13 : 1119189063
Total Pages : 272 pages
Book Rating : 4.60/5 ( download)

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Book Synopsis Iterative Learning Control for Multi-agent Systems Coordination by : Shiping Yang

Download or read book Iterative Learning Control for Multi-agent Systems Coordination written by Shiping Yang and published by John Wiley & Sons. This book was released on 2017-03-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Springer
ISBN 13 : 981130520X
Total Pages : 219 pages
Book Rating : 4.07/5 ( download)

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Book Synopsis Networked Predictive Control of Systems with Communication Constraints and Cyber Attacks by : Zhong-Hua Pang

Download or read book Networked Predictive Control of Systems with Communication Constraints and Cyber Attacks written by Zhong-Hua Pang and published by Springer. This book was released on 2018-06-12 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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

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Book Synopsis Iterative Learning Control with Passive Incomplete Information by : Dong Shen

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.

Iterative Learning Control for Multi-agent Systems Coordination

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119189071
Total Pages : 272 pages
Book Rating : 4.77/5 ( download)

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Book Synopsis Iterative Learning Control for Multi-agent Systems Coordination by : Shiping Yang

Download or read book Iterative Learning Control for Multi-agent Systems Coordination written by Shiping Yang and published by John Wiley & Sons. This book was released on 2017-03-08 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints

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Publisher : CRC Press
ISBN 13 : 100042930X
Total Pages : 152 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints by : Jinling Liang

Download or read book Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints written by Jinling Liang and published by CRC Press. This book was released on 2021-09-06 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Springer
ISBN 13 : 3540319867
Total Pages : 1447 pages
Book Rating : 4.63/5 ( download)

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Book Synopsis Knowledge-Based Intelligent Information and Engineering Systems by : Rajiv Khosla

Download or read book Knowledge-Based Intelligent Information and Engineering Systems written by Rajiv Khosla and published by Springer. This book was released on 2005-08-25 with total page 1447 pages. Available in PDF, EPUB and Kindle. Book excerpt: ... 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

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Publisher : Springer Science & Business Media
ISBN 13 : 3540782559
Total Pages : 256 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis Control and Scheduling Codesign by : Feng Xia

Download or read book Control and Scheduling Codesign written by Feng Xia and published by Springer Science & Business Media. This book was released on 2008-10-11 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Author :
Publisher : CRC Press
ISBN 13 : 100382109X
Total Pages : 357 pages
Book Rating : 4.90/5 ( download)

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Book Synopsis Iterative Learning Control over Random Fading Channels by : Dong Shen

Download or read book Iterative Learning Control over Random Fading Channels written by Dong Shen and published by CRC Press. This book was released on 2023-12-22 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.