Output tracking control for discrete-time nonlinear networked control systems via a non-PDC scheme

This paper investigates the problem of fuzzy output tracking control for networked control systems with data packet dropout, where the controlled plant is a class of nonlinear discrete-time systems with external disturbances. In the proposed tracking control framework, the controlled plant and the tracked plant are distributed in a wide area, respectively. The data packet dropout phenomenon is assumed to occur in a random way, and the probability for each network channels is governed by an individual Bernoulli sequence. The Takagi and Sugeno (T-S) fuzzy model is employed to represent the controlled plant and a non-parallel distributed compensation (non-PDC) scheme is adopted for the output tracking control design. As a result, a new model with stochastic parameters is established. Then, a fuzzy Lyapunov function (FLF) is constructed to derive a sufficient condition such that the modified H_∞ tracking performance is achieved for the closed-loop networked tracking control systems. Moreover, a numerical procedure based on cone complementarity linearization algorithm is given for the fuzzy tracking controller. Finally, a simulation example shows the effectiveness of the proposed tracking control scheme.