Nonlinear Stochastic Systems with Network-Induced Phenomena - Recursive Filtering and Sliding-Mode Design

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties.
The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of:
· the state-of-the-art of nonlinear filtering and control;
· recent advances in recursive filtering and sliding mode control; and
· their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton-Jacobi-Isaacs matrix inequalities, difference linear matrix inequalities and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity.
Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filteringproblems.

List of contents

Recursive Filtering with Missing Measurements and Quantized Effects.- Recursive Filtering with Fading Measurements, Sensor Delays, and Correlated.- Noises.- Probability-Guaranteed H Finite Horizon Filtering with Sensor Saturations.- H Sliding Mode Observer Design for Nonlinear Time-Delay Systems.- Sliding Mode Control with Time-Varying Delays and Randomly Occurring Nonlinearities.- Sliding Mode Control with Randomly Occurring Uncertainties and Mixed Time-Delays.

About the author

Zidong Wang is currently Professor of Dynamical Systems and Computing at Brunel University, West London, United Kingdom. From January 1997 to December 1998, he was an Alexander von Humboldt research fellow with the Control Engineering Laboratory, Ruhr-University Bochum, Germany. From January 1999 to February 2001, he was a Lecturer with the Department of Mathematics, University of Kaiserslautern, Germany. From March 2001 to July 2002, he was a University Senior Research Fellow with the School of Mathematical and Information Sciences, Coventry University, U.K. In August 2002, he joined the Department of Information Systems and Computing, Brunel University, U.K., as a Lecturer, and was then promoted to a Reader in September 2003 and to a Chair Professor in July 2007. §Professor Wang's research interests include dynamical systems, signal processing, bioinformatics, control theory and applications. He has published more than 200 papers in refereed international journals. His publications have received more than 5000 citations (excluding self-citations) with h-index 48 ....

Summary

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties.
The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of:
·         the state-of-the-art of nonlinear filtering and control;
·         recent advances in recursive filtering and sliding mode control; and
·         their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton‒Jacobi‒Isaacs matrix inequalities, difference linear matrix inequalities and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity.
Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filteringproblems.

Product details

• Authors: Huijun Gao, Ju Hu, Jun Hu, Zidon Wang, Zidong Wang
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 04.06.2014
• EAN: 9783319087108
• ISBN: 978-3-31-908710-8
• No. of pages: 223
• Dimensions: 164 mm x 244 mm x 17 mm
• Weight: 536 g
• Illustrations: XV, 223 p. 79 illus., 77 illus. in color.
• Subject: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering