Analysis And Quantization For T-S Fuzzy Model Networked Control Systems

Networked Control Systems are real-time feedback loop control network, connecting the sensors, actuators, controllers and controlled object through the network in different geographic locations. The controllers exchange information through the network with sensors and actuators, and thus the controlled object would be remote controlled. The main problems of the network control system are the time delay and packet loss problems existed in the process of long distance transmission. Nonlinear control system refers to a coupling parameter nonlinear system.T-S fuzzy modeling is a very effective modeling method for nonlinear system modeling, which can approximate any nonlinear system by its feature of piecewise linear, and can design controller segmented, through fuzzy weighted getting fuzzy controller output, and the pieces of T-S fuzzy model is a linear function form, the theory of linear systems can be used to analysis and design controllers for the systems.Firstly, this paper introduces a system of state-related event-triggered mechanism, which considering the exist of time-varying delay in the nonlinear network control system, then using the T-S frizzy model to describe the nonlinear network control system of time-varying delay under the event-triggered mechanism. Based on this model, the asymptotic stability of the control system is analyzed and the design method of system controller is given.Secondly, taking the time-varying delay, uncertainties, event-triggered communication mechanism into account and using the T-S fuzzy model to describe the nonlinear network control system. By using Lyapunov functional method, the sufficient conditions which can make the system asymptotically stable has been described by linear matrix inequalities is obtained. Based on this condition, the H∞, controller design method is presented.Finally, taking the time-varying delay, uncertainties, state quantification, control input quantization, and event-triggered communication mechanism into account, T-S fuzzy model networked control systems is constructed, the stability criterion guaranteeing the closed-loop systems asymptotically stable is presented. Based on the criterion, a quantitative controller design method is obtained.