Nonlinear Stochastic Systems With Incomplete Information: Filtering And Control by Bo ShenNonlinear Stochastic Systems With Incomplete Information: Filtering And Control by Bo Shen

Nonlinear Stochastic Systems With Incomplete Information: Filtering And Control

byBo Shen, Zidong Wang, Huisheng Shu

Paperback | June 24, 2015

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Nonlinear Stochastic Processes addresses the frequently-encountered problem of incomplete information. The causes of this problem considered here include: missing measurements; sensor delays and saturation; quantization effects; and signal sampling.
Divided into three parts, the text begins with a focus on H' filtering and control problems associated with general classes of nonlinear stochastic discrete-time systems. Filtering problems are considered in the second part, and in the third the theory and techniques previously developed are applied to the solution of issues arising in complex networks with the design of sampled-data-based controllers and filters.
Among its highlights, the text provides:
• a unified framework for filtering and control problems in complex communication networks with limited bandwidth;
• new concepts such as random sensor and signal saturations for more realistic modeling; and
• demonstration of the use of techniques such as the Hamilton-Jacobi-Isaacs, difference linear matrix, and parameter-dependent matrix inequalities and sums of squares to handle the computational challenges inherent in these systems.
The collection of recent research results presented in Nonlinear Stochastic Processes will be of interest to academic researchers in control and signal processing. Graduate students working with communication networks with lossy information and control of stochastic systems will also benefit from reading the book.
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...
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Title:Nonlinear Stochastic Systems With Incomplete Information: Filtering And ControlFormat:PaperbackDimensions:248 pagesPublished:June 24, 2015Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1447160002

ISBN - 13:9781447160007

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Table of Contents

Quantized H-infinity Control for Nonlinear Stochastic Time-delay Systems with Missing Measurements.- Nonlinear H-infinity Filtering for Discrete-Time Stochastic Systems with Missing Measurements and Randomly Varying Sensor Delays.- Robust H-infinity Filtering with Randomly Occurring Nonlinearities, Quantization Effects and Successive Packet Dropouts.- H-infinity Filtering with Randomly Occurring Sensor Saturations and Missing Measurements.- Distributed H-infinity Consensus Filtering in Sensor Networks with Multiple Missing Measurements: The Finite-Horizon Case.- Distributed H-infinity Filtering for Polynomial Nonlinear Stochastic Systems in Sensor Networks.- A Stochastic Sampled-Data Approach to Distributed H-infinity Filtering in Sensor Networks.- Sampled-Data Synchronization Control of Complex Dynamical Networks with Stochastic Sampling.- Bounded H-infinity Synchronization and State Estimation for Discrete Time-Varying Stochastic Complex Networks over a Finite Horizon.