Nonlinear Stochastic Systems with Network-Induced Phenomena: Recursive Filtering and Sliding-Mode Design by Jun HuNonlinear Stochastic Systems with Network-Induced Phenomena: Recursive Filtering and Sliding-Mode Design by Jun Hu

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

byJun Hu, Zidong Wang, Huijun Gao

Hardcover | August 5, 2014

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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 filtering problems.

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 wit...
Title:Nonlinear Stochastic Systems with Network-Induced Phenomena: Recursive Filtering and Sliding-Mode…Format:HardcoverDimensions:223 pagesPublished:August 5, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:331908710X

ISBN - 13:9783319087108

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Table of Contents

Introduction.- Recursive Filtering for Time-Varying Nonlinear Systems with Stochastic Nonlinearities, Multiple Missing Measurements and Quantized Effects.- Recursive Filtering with Random Parameter Matrices, Multiple Fading Measurements, Probabilistic Sensor Delays, Correlated Noises and Gain-Constraint.- Probability-Guaranteed H-infinity Finite-Horizon Filtering for a Class of Nonlinear Time-Varying Systems with Sensor Saturations.- H-infinity Sliding-Mode Observer Design for a Class of Nonlinear Time-Delay Systems.- Robust Sliding-Mode Control for Uncertain Stochastic Systems with Time-Varying Delays, Randomly-Occurring Nonlinearities and Stochastic Nonlinearities.- Robust Sliding-Mode Control for Stochastic Systems with Randomly-Occurring Uncertainties, Randomly Occurring Nonlinearities, Mixed Time Delays and Markovian Jumping Parameters.- Conclusions and Future Work.