PROJECT TITLE :

Nonfragile Distributed Filtering for T–S Fuzzy Systems in Sensor Networks

ABSTRACT:

This paper is concerned with the nonfragile distributed H∞ filtering problem for a category of discrete-time Takagi-Sugeno (T-S) systems in sensor networks. Additive filter gain uncertainties that replicate imprecision in filter implementation are thought-about. Based on the sturdy management approach, sufficient conditions are obtained to confirm that the filtering error system is asymptotically stable with a prescribed H∞ performance level and the eigenvalues of the filtering error system in a given circular region. The filter parameters are determined by solving a set of linear matrix inequalities. A simulation study on the nonlinear tunnel diode circuit system is presented to point out the effectiveness of the proposed style methodology.