Dissipative fuzzy filtering for nonlinear systems with multiple packet dropouts
Wu Wang · Control theory & applications · 2010
The problem of designing a dissipative fuzzy filter is addressed for a class of nonlinear systems with multiple packet dropouts. The Takagi and Sugeno(T-S) fuzzy model is employed to represent a discrete-time nonlinear system, and the multiple packet dropouts in measurements are described by a binary switching sequence satisfying a conditional probability distribution. Based on a linear matrix inequality(LMI) approach, we develop a fuzzy dissipative filter which guarantees that the filter-error systems are exponentially mean-square stable and with strict dissipativeness. A numerical example is provided to illustrate the design developed in this paper.