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Networked Control Systems with Intermittent Feedback

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Networked Control Systems with Intermittent Feedback explores advanced frameworks for spatially distributed control systems using shared communication networks. This book covers nonlinear dynamic plants, delayed and noisy information exchange, and diverse scheduling protocols. It addresses challenges in decentralized control of heterogeneous agents and introduces optimal intermittent feedback techniques using Approximate Dynamic Programming and Reinforcement Learning.
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Format: Paperback / softback
$13700
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Ideal for researchers, engineers, and graduate students specialising in control systems, networked communications, and systems engineering seeking comprehensive theoretical and practical insights into NCSs.

Book Hero thinking about your next read

This book brings an overview of the necessary notions related to Lp-stability, impulsive delayed systems, switched systems, approximate dynamic programming, reinforcement learning, Markov processes, ergodicity, and scheduling protocols, followed by some realistic applications and engineering problems. Each of the eight chapters is written and or

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Networked Control Systems with Intermittent Feedback focuses on spatially distributed systems known as Networked Control Systems (NCSs), where communication between sensors, actuators, and controllers is executed through a shared (either wired or wireless) network. NCSs offer significant advantages, including reduced installation and maintenance costs and increased flexibility compared to traditional control systems that use dedicated point-to-point connections for information exchange.

The primary aim of this book is to present a coherent and versatile framework, suitable for a range of scenarios examined by the authors over several years. This framework is applicable to nonlinear time-varying dynamic plants and controllers with delayed dynamics. It also accommodates a broad class of scheduling protocols—static, dynamic, probabilistic, and priority-oriented—as well as delayed, noisy, lossy, and intermittent information exchange.

Moreover, the book addresses decentralized control problems involving heterogeneous agents with time-varying directed communication topologies that are not necessarily balanced. It covers both state- and output-feedback, off-line and on-line intermittent feedback, optimal intermittent feedback through Approximate Dynamic Programming (ADP) and Reinforcement Learning (RL), and control systems with exogenous disturbances and modelling uncertainties.

Series: Automation and Control Engineering

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Book Details

INFORMATION

ISBN: 9780367656225

Publisher: Taylor & Francis Ltd

Format: Paperback / softback

Date Published: 30 September 2020

Country: United Kingdom

Imprint: CRC Press

Audience: General / adult, Tertiary education

DIMENSIONS

Width: 156.0mm

Height: 234.0mm

Weight: 453g

Pages: 260

About the Author

Dr. Domagoj Tolić graduated from the Faculty of Electrical Engineering and Computing (FER), University of Zagreb, with a Master degree (Dipl.-Ing.) in Electrical Engineering (2007), majoring in Control Systems. In addition, he graduated from the Mathematics Department, University of Zagreb, with a Bachelor Degree in Mathematics (2008). Subsequently, he enrolled in the Ph.D. program, the Control Systems major, at the Department of Electrical and Computer Engineering, University of New Mexico (UNM), Albuquerque, NM, as a member of the MARHES (Multi-Agent, Robotics, Hybrid, and embedded Systems Laboratory) research group under supervision of Prof. Rafael Fierro. Upon completing the Ph.D. program (2012), he was a postdoctoral researcher in the Research Centre for Advanced Cooperative Systems (ACROSS) at FER until September 2014. During his time in ACROSS, Dr. Tolić was a visiting researcher at the Institute for Information-oriented Control, Technische Universität München from October 2013 until June 2014. Currently, he is a postdoctoral researcher at University of Dubrovnik. His research focuses on stability and estimation under intermittent information for nonlinear and multi-agent control systems. The developed theory is applied to problems in the area of multi-agent robotics.

Professor Sandra Hirche holds the TUM Liesel Beckmann Distinguished Professorship and heads the Chair of Information-oriented Control in the Department of Electrical and Computer Engineering at Technische Universität München, Germany (since 2013). She received the engineering degree in Aeronautical and Aerospace Engineering in 2002 from the Technical University Berlin, Germany, and the Doctor of Engineering degree in Electrical and Computer Engineering in 2005 from the Technische Universität München, Munich, Germany. From 2005-2007, she was a Post-Doctoral fellow of the Japanese Society for the Promotion of Science at the Fujita Laboratory at Tokyo Institute of Technology, Japan. Prior to her present appointment she has been an Associate Professor at Technische Universität München. Her main research interests include cooperative, distributed, and networked control with applications in human-robot interaction, multi-robot systems, and general robotics. She has published more than 150 papers in international journals, books, and refereed conferences. Dr. Hirche has received multiple awards such as the Rohde & Schwarz Award for her PhD thesis in 2005, the JSPS Postdoctoral Fellowship Award in 2005, the IFAC World Congress Best Poster Award in 2005, Best Paper Awards of IEEE Worldhaptics, and IFAC Conference of Maneuvering and Control of Marine Craft in 2009. Additionally, she was a finalist in the 2011 Ro-Man, the 2012 IROS Best Paper Awards, and the 2014 ECC Best Student Paper Awards. In 2013, she was awarded an ERC Starting Grant on the "Control based on Human Models."

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