Fuzzy H∞ Control for Networked T-S Model-based onlinear Systems with Redundant Channels

This paper is concerned with the IL controller design problem for a class of networked nonlinear systems represented by the Takagi-Sugeno (T-S) fuzzy model. The measured outputs subjected to sensor saturations will be lost during the transmission through unreliable communication links. To improve the reliability of the network communication, the sensors arc equipped with redundant channels to reduce the negative effect of packet dropouts. Sufficient conditions on the existence of the desired controller are established by employing Lyapunov stability theory to ensure that the resulting closed-loop system is stochastically stable and achieves a prescribed H,, performance index. An example is utilized to illustrate the effectiveness of the proposed algorithm.