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Networked Control Systems with Intermittent Feedback

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Networked Control Systems with Intermittent Feedback explores spatially distributed systems where controllers, sensors, and actuators communicate over shared networks, replacing traditional point-to-point links. The book presents a versatile framework applicable to nonlinear and time-varying systems, handling various scheduling protocols and communication challenges like delays, losses, and noise. It also addresses decentralised control in complex network topologies, intermittent feedback strategies, and advanced optimisation methods including Approximate Dynamic Programming and Reinforcement Learning.
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Format: Hardback
$34100
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for researchers, engineers, and graduate students specialising in control systems, network communications, and automated systems, particularly those interested in advanced control techniques for systems with intermittent or unreliable feedback.

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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 explores the concept of Networked Control Systems (NCSs), which are spatially distributed systems where communication between sensors, actuators, and controllers is realized through a shared (wired or wireless) communication network.

NCSs present several advantages, including reduced installation and maintenance costs, and greater flexibility, compared to conventional control systems that rely on dedicated point-to-point connections for information exchange within control loops.

The principal aim of this book is to provide a coherent and versatile framework applicable to various settings investigated by the authors over several years. This framework is relevant to nonlinear time-varying dynamic plants and controllers with delayed dynamics. It also covers a broad class of static, dynamic, probabilistic, and priority-oriented scheduling protocols and addresses issues such as delayed, noisy, lossy, and intermittent information exchange.

Moreover, the book delves into decentralized control problems involving heterogeneous agents with time-varying directed (not necessarily balanced) communication topologies. It considers both state- and output-feedback mechanisms, as well as off-line and on-line intermittent feedback methods.

The text also covers optimal intermittent feedback techniques through Approximate Dynamic Programming (ADP) and Reinforcement Learning (RL), in addition to control systems dealing with exogenous disturbances and modelling uncertainties.

Series: Automation and Control Engineering

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Book Details

INFORMATION

ISBN: 9781498756341

Publisher: Taylor & Francis Inc

Format: Hardback

Date Published: 10 April 2017

Country: United States

Imprint: CRC Press Inc

Illustration: 6 Tables, black and white; 22 Line drawings, color; 7 Line drawings, black and white; 10 Halftones, color

Audience: Professional and scholarly

DIMENSIONS

Width: 156.0mm

Height: 234.0mm

Weight: 628g

Pages: 258

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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