Overview
- Presents recent research trends and practical examples in control and filtering of dynamic systems with constrained signals
- Demonstrates various dynamic system models in continuous or discrete-time domain such as Networked control systems, Markovian jump systems, Neural networks, and Complex networks for some control and filtering problems
- Presents many examples from practical industrial models applicable to
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 170)
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Table of contents (11 chapters)
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Front Matter
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Control Problems
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Front Matter
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Filtering Problems
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Front Matter
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Back Matter
Keywords
About this book
This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques.
This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.
Authors and Affiliations
Bibliographic Information
Book Title: Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals
Authors: Ju H. Park, Hao Shen, Xiao-Heng Chang, Tae H. Lee
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-96202-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-96201-6Published: 17 August 2018
Softcover ISBN: 978-3-030-07154-7Published: 28 December 2018
eBook ISBN: 978-3-319-96202-3Published: 09 August 2018
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XXVII, 226
Number of Illustrations: 2 b/w illustrations, 54 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence