New Results on $H_\infty$ Tracking Control Based on the T–S Fuzzy Model for Sampled-Data Networked Control System

This study deals with the problem of H
_∞
tracking control for a sampled-data networked control system based on a Takagi-Sugeno fuzzy model. An error model is established by combining the input delay and parallel distributed compensation techniques so as to transform the sampling period of a sampler, a signal transmission delay, and data packet dropouts to the refreshing interval of a zero-order hold. The method introduces a new augmented Lyapunov-Krasovskii functional to derive a sufficient condition to ensure a prescribed H
_∞
tracking performance with less conservativeness than others. A fuzzy controller can easily be designed using the condition. A numerical example demonstrates the validity of the method.