A Networked Predictive Control Algorithm Based on T-S Fuzzy Model

Abstract

Network time-delay is usually uncertain or random, packet loss and timing disorder also can be summed up in a certain degree of time-delay. In this paper, we focused on networked control systems (NCS) with bounded uncertain time delays. Utilizing extended TakagiSugeno (T-S) fuzzy models, the characteristics of such a system is better expressed. Based on these fuzzy models, a fuzzy generalized predictive control algorithm based on Markov uncertain delay and subspace Toeplitz equations is proposed. By introducing subspace Toeplitz prediction equation, the overall optimal control input is obtained by fuzzy "blending" of all subspaces control law. Finally, a simulation example was given.