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Engineering - Control Engineering | Nonlinear Stochastic Systems with Network-Induced Phenomena - Recursive Filtering and Sliding-Mode

Nonlinear Stochastic Systems with Network-Induced Phenomena

Recursive Filtering and Sliding-Mode Design

Hu, Jun, Wang, Zidong, Gao, Huijun

2015, XV, 223 p. 79 illus., 77 illus. in color.

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  • 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

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.

Content Level » Research

Keywords » Communication Delay - Network-induced Phenomena - Nonlinear Systems - Packet Dropout - Randomly-occurring Uncertainties - Recursive Filtering - Signal Quantization - Signal Saturation - Sliding-mode Design - Stochastic Systems

Related subjects » Applications - Control Engineering - Probability Theory and Stochastic Processes - Signals & Communication

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