H filtering for nonlinear discrete-time systems subject to quantization and packet dropouts

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

116 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Article number5664778
Pages (from-to)353-365
Journal / PublicationIEEE Transactions on Fuzzy Systems
Volume19
Issue number2
Online published10 Dec 2010
Publication statusPublished - Apr 2011

Abstract

This paper investigates the problem of Hfiltering for a class of nonlinear discrete-time systems with measurement quantization and packet dropouts. Each output is transmitted via an independent communication channel, and the phenomenon of packet dropouts in transmission is governed by an individual random binary distribution, while the quantization errors are treated as sector-bound uncertainties. Based on a piecewise-Lyapunov function, an approach to the design of H-piecewise filter is proposed such that the filtering-error system is stochastically stable with a guaranteed H performance. Some slack matrices are introduced to facilitate the filter design procedure by eliminating the coupling between the Lyapunov matrices and the system matrices. The filter parameters can be obtained by solving a set of linear-matrix inequalities (LMIs), which are numerically tractable with commercially available software. Finally, two illustrative examples are provided to show the effectiveness of the proposed method.  

Research Area(s)

  • H∞ filter design, measurement quantization, packet dropouts, piecewise-Lyapunov functions

Citation Format(s)

H filtering for nonlinear discrete-time systems subject to quantization and packet dropouts. / Zhang, Changzhu; Feng, Gang; Gao, Huijun et al.
In: IEEE Transactions on Fuzzy Systems, Vol. 19, No. 2, 5664778, 04.2011, p. 353-365.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review