Research On Robust H_∞Control For Nonlinear Network Systems With Time Delay

With the network technology and the rapid development of computer applicationtechnology, and promote the computer information, communication network, systemcontrol, etc. The rapid development of high-end technology to a new type of controlsystems-networked control system came into being. Networked control systems ininformation technology today, in addition to meet the development trend of modernscience and technology, but also in various disciplines can be widely applied. In this paper,nonlinear time-delay robust control for networked systems have been studied, the mainwork is as follows:1) Studied the nonlinear system robust control problem. By using TS fuzzy model todescribe the system for sensor or actuator failure cases, the proposed closed-loop system isstable linear memoryless state feedback robust fault-tolerant controller design methodsbased on Lyapunov stability theory and linear inequality gives a sufficient condition forstability of the system. Simulation examples show the feasibility and effectiveness of thismethod.2) Studied the main characteristics of the network control system and the problemsfaced by the delay and its robust stability analysis and the establishment of themathematical model. While the design of a sub-optimal guaranteed cost controller. Finally,a special case for a typical numerical simulation. From the simulation results, to achievethe stability and robustness of the system performance requirements.3) Network for nonlinear time-delay system was robust stabilization analysis, basedon Lyapunov functional deduced second form of linear integral inequality under thedelay-dependent stability and stabilization criterion. The criterion in the results with lessconservative, especially in an uncertain distributed delay distribution system belonging toa certain interval delay case, the results can be easily checked robust stability and robuststabilization.4) Studied the nonlinear delay networked systems robust control, first of all sensornodes using a fixed cycle time drive mode, its discretization, and then design a discretedynamic output feedback robust controller and robust filter, the conclusion given in the form of linear matrix inequalities, and use the LMI Control Toolbox in Matlab for systemsimulation.