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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Nonlinear Stochastic Systems with Network-Induced Phenomena/ by Jun Hu, Zidong Wang, Huijun Gao.
Reminder of title:	Recursive Filtering and Sliding-Mode Design /
Author:	Hu, Jun.
other author:	Wang, Zidong.
Description:	XV, 223 p. 79 illus., 77 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Control engineering. -
Online resource:	https://doi.org/10.1007/978-3-319-08711-5
ISBN:	9783319087115

Nonlinear Stochastic Systems with Network-Induced Phenomena = Recursive Filtering and Sliding-Mode Design /
Hu, Jun.

Nonlinear Stochastic Systems with Network-Induced PhenomenaRecursive Filtering and Sliding-Mode Design /[electronic resource] :by Jun Hu, Zidong Wang, Huijun Gao. - 1st ed. 2015. - XV, 223 p. 79 illus., 77 illus. in color.online resource.

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.

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.

ISBN: 9783319087115

Standard No.: 10.1007/978-3-319-08711-5doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Nonlinear Stochastic Systems with Network-Induced Phenomena = Recursive Filtering and Sliding-Mode Design /
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520 $a 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.
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