Robust H Filtering for a Class of Nonlinear Networked Systems With Multiple Stochastic Communication Delays and Packet Dropouts

In this paper, the robust H ∞ filtering problem is studied for a class of uncertain nonlinear networked systems with both multiple stochastic time-varying communication delays and multiple packet dropouts. A sequence of random variables, all of which are mutually independent but obey Bernoulli distr...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on signal processing Ročník 58; číslo 4; s. 1957 - 1966
Hlavní autori:	Dong, Hongli, Wang, Zidong, Gao, Huijun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.04.2010 Institute of Electrical and Electronics Engineers
Predmet:	Applied sciences Delay Detection, estimation, filtering, equalization, prediction Exact sciences and technology Filtering Information, signal and communications theory Miscellaneous Networked systems Nonlinear filters nonlinear systems packet dropout Performance analysis Random variables robust H_{\infty} filtering Robustness Sensor phenomena and characterization Signal and communications theory Signal processing Signal, noise Stochastic systems stochastic time-varying communication delays Telecommunications and information theory Time varying systems Uncertain systems Performance evaluation Disturbance rejection packet dropout Non linear filter Non linear phenomenon Time variation stochastic time-varying communication delays Networked systems Networked system Uncertain system stochastic systems Delay time Random variable H infinite optimization Estimation error robust H Filtering Probabilistic approach Discrete time systems H infinite control Non linear system Robust control nonlinear systems Stochastic analysis Sufficient condition Linear filter Signal processing Non linear effect Performance index
ISSN:	1053-587X
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Popis
Shrnutí:	In this paper, the robust H ∞ filtering problem is studied for a class of uncertain nonlinear networked systems with both multiple stochastic time-varying communication delays and multiple packet dropouts. A sequence of random variables, all of which are mutually independent but obey Bernoulli distribution, are introduced to account for the randomly occurred communication delays. The packet dropout phenomenon occurs in a random way and the occurrence probability for each sensor is governed by an individual random variable satisfying a certain probabilistic distribution in the interval. The discrete-time system under consideration is also subject to parameter uncertainties, state-dependent stochastic disturbances and sector-bounded nonlinearities. We aim to design a linear full-order filter such that the estimation error converges to zero exponentially in the mean square while the disturbance rejection attenuation is constrained to a give level by means of the H ∞ performance index. Intensive stochastic analysis is carried out to obtain sufficient conditions for ensuring the exponential stability as well as prescribed H ∞ performance for the overall filtering error dynamics, in the presence of random delays, random dropouts, nonlinearities, and the parameter uncertainties. These conditions are characterized in terms of the feasibility of a set of linear matrix inequalities (LMIs), and then the explicit expression is given for the desired filter parameters. Simulation results are employed to demonstrate the effectiveness of the proposed filter design technique in this paper.
ISSN:	1053-587X
DOI:	10.1109/TSP.2009.2038965