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Nonlinear Stochastic Systems with Network-Induced Phenomena, 2015 Recursive Filtering and Sliding-Mode Design

Langue : Anglais

Auteurs :

Couverture de l’ouvrage Nonlinear Stochastic Systems with Network-Induced Phenomena

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.

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.

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. He was awarded the Humboldt research fellowship in 1996 from Alexander von Humboldt Foundation, the JSPS Research Fellowship in 1998 from Japan Society for the Promotion of Science, and the William Mong Visiting Research Fellowship in 2002 from the University of Hong Kong.
Professor Wang serves as an Associate Editor for IEEE Transactions on Automatic Control, IEEE Transactions on Neural Networks, IEEE Transactions on Signal Processing, IEEE Transactions on Systems, Man, and Cybernetics Part C, IEEE Transactions on Control Systems Technology, Circuits, Systems & Signal Processing, Asian Journal of Control, an Action Editor for Neural Networks, an Editorial Board Member for International Journal of Systems Science, Neurocomputing, International Journal of Computer Mathematics, International Journal of General Systems, and an Associate Editor on the Conference Editorial Board for theIEEE

Synthesizes existing with emerging concepts of sliding modes and recursive filtering to maximize the reader’s ability to deal with network-induce phenomena Research problems in each chapter well motivated by simulation examples reflecting engineering practice Captures the essence of Lyapunov-theory-based nonlinear stochastic control of discrete-time systems Includes supplementary material: sn.pub/extras

Date de parution :

Ouvrage de 223 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

108,44 €

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Date de parution :

Ouvrage de 223 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

147,69 €

Ajouter au panier