Fuzzy Constrained Min-Max Model Predictive Control Research of Networked System via Piecewise Lyapunov Functions

摘要

This paper is mainly introduced with the fuzzy constrained Min-Max MPC of networked control systems, in fact Markovian data loss and quantization are applied in this system. The central idea of this article is to devise state feedback control law based on the fuzzy model to predict the minimize and the worst case objective function, therefore the optimal transient control performance could be obtained. Contemporaryly, the influences of Markovian packet data loss and quantization on the system performance are considered. In contrasted with common Lyapunov functions, piecewise Lyapunov functions are applied to reduce the conservatism of system. The simulation upshots are effectiveness.