Fuzzy Control Of Networked Control System With Time Delay

With the development of computer technology and network technology, the researchtrend of networked control system is diversify, intelligent. The traditional point-to-pointtransmission has been unable to meet the demands of reality usage, the network controlsystem gets more and more attention. As network is introduced into the control systeminevitably at the same time it will bring a series of problems such as delay, packet loss. Thissubject comes from the daily usage of network control system in the practical application ofthe existing problems of this type, such as, network induced delay data packet dropout andtemporal disorder single packet transmission. The main work is reflected in the followingaspects:1. Study time delay networked control systems without packet loss and packet sequencedisorder situation, the delay will be divided into more than one sampling period and less thanone sampling period and two kinds of circumstances can be considered, first using a newmodeling method of discrete fuzzy T-S model for system modeling, as far as possible toapproximate nonlinear networked control system, then based on this model using paralleldistributed compensation principle to design of controller, finally using Lyapunov theoremand linear matrix inequality method to analyze the stability of a system.2. For disturbed time-delay systems based on fuzzy model, with external perturbation of aclass of uncertain nonlinear networked control systems with disturbance rejection problem.We present a state variable substitution, transfers the control time-delay to closed loop controlcircuit, thereby to eliminate time delay part to the control system stable influence. By usingLyapunov stability theory and linear matrix inequality technique, proved the validity of thecontrol method.3. For nonlinear systems, based on T-S fuzzy model to modeling, get the structures withunknown parameter estimation model, between both to get the error model, and then thedesign Lyapunov function, using Lyapunov stability theory to construct stable matrix, makingthe error converge to zero. In order to ensure that Lyapunov function derivation is less thanzero, the article first to estimate the model parameter design, derived from adaptive law, toensure that the estimation model of the original model state overall consistent state.