一类离散时间非线性网络控制系统的跟踪性能分析

研究了一类非线性离散时间网络控制系统的跟踪性能分析问题,其中,非线性系统用离散Takagi-Sugeno(T-S)模糊模型近似。考虑到网络传播的随机性,数据包丢失建模为Bernoulli分布的序列。因此,跟踪控制系统转化为带有随机参数的模型。基于平行分布补偿性(PDC)技术和随机稳定性理论,对跟踪性能分析提出新准则,且保证在修正意义下,非线性系统输出跟踪线性系统输出。

Tracking Performance Analysis for Nonlinear Discrete-Time Networked Control Systems

This paper is concerned with the tracking performance analysis problem for a class of nonlinear discrete-time networked control systems,where the nonlinear plant is approximated by a discrete-time Takagi-Sugeno(T-S) fuzzy model.Considering the random characteristics of network transmission,data packet dropout is modeled as a Bernoulli sequence.Then,a new model with stochastic parameters is established for such tracking control system.Based on parallel distributed compensation(PDC) scheme and stochastic stability theory,a new criterion is proposed for such tracking performance analysis,which guarantees that the output of the nonlinear plant tracks that of a tracked plant in the modified sense.