New Results on src='/images/tex/248.gif' alt='H_infty '> Tracking Control Based on the T–S Fuzzy Model for Sampled-Data Networked Control System

摘要

This study deals with the problem of 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 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.