H Filtering For Nonlinear Discrete-Time Systems Subject to Quantization and Packet Dropouts

• Published in: IEEE transactions on fuzzy systems Vol. 19; no. 2; pp. 353 - 365
• Main Authors: Zhang, Changzhu, Feng, Gang, Gao, Huijun, Qiu, Jianbin
• Format: Journal Article
• Language: English
• Published: IEEE 01.04.2011
• Subjects: Communication channels; Dropouts; Filtering; Filtration; Fuzzy systems; H_\infty filter design; Kalman filters; Linear matrix inequalities; Lyapunov method; Mathematical analysis; Mathematical models; Matrices; Matrix methods; measurement quantization; Nonlinearity; packet dropouts; piecewise-Lyapunov functions; Quantization; Symmetric matrices
• ISSN: 1063-6706; 1941-0034
• DOI: 10.1109/TFUZZ.2010.2098880

This paper investigates the problem of H ∞ filtering 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 pro posed 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.