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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.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xv, 223 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Stochastic systems. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-08711-5
ISBN:	9783319087115 (electronic bk.)

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. - Cham :Springer International Publishing :2015. - xv, 223 p. :ill. (some col.), digital ;24 cm.

Recursive Filtering with Missing Measurements and Quantized Effects -- Recursive Filtering with Fading Measurements, Sensor Delays, and Correlated -- Noises -- Probability-Guaranteed H-infinity Finite Horizon Filtering with Sensor Saturations -- H-infinity 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 (electronic bk.)

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

672347
Stochastic systems.

LC Class. No.: QA402

Dewey Class. No.: 003.76

Nonlinear stochastic systems with network-induced phenomena = recursive filtering and sliding-mode design /
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245 1 0 $a Nonlinear stochastic systems with network-induced phenomena $h [electronic resource] : $b recursive filtering and sliding-mode design / $c by Jun Hu, Zidong Wang, Huijun Gao.
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505 0 $a Recursive Filtering with Missing Measurements and Quantized Effects -- Recursive Filtering with Fading Measurements, Sensor Delays, and Correlated -- Noises -- Probability-Guaranteed H-infinity Finite Horizon Filtering with Sensor Saturations -- H-infinity 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.
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.
650 0 $a Stochastic systems. $3 672347
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650 2 4 $a Systems Theory, Control. $3 669337
700 1 $a Wang, Zidong. $3 1062285
700 1 $a Gao, Huijun. $3 1000380
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