Stability Analysis And Event-triggered Filter For Networked Control Systems Based On Quantization Scheme

Based on the event-trigger control,quantification control,robust control,and some time-delay system control theory,this thesis studies the asymptotic stability,H_?filtering,and dissipative filtering for networked control systems.The main research contents includes:(1)The asymptotic stability problem of the network control system by considering the quantization error is studied.Firstly,an integral inequality is derived based on the auxiliary function type and Bessel-Legendre integral inequalitie.Then a novel augmented Lyapunov functional is constructed,and the conditions for asymptotic stability are obtained by combining the constant zero equation technique and inverse convex technique.Finally,comparing with other literatures in the numerical part,it is shown that the stability criterion obtained has certain superiority and validity.(2)The asymptotic stability of the sampled-data network control system with quantization is studied.The characteristics of the sampled-data network control system and quantization mechanism are firstly given,a model of the sampled-data network control system with and without quantization are established.Then,two asymptotic stability criteria are obtained by providing a looped functional of fractional time-delay states and using second-order generalized free weight matrix inequalities and constant zero equations.The simulation results prove the superiority and feasibility of the innovative looped functional of fractional time-delay states in this paper.(3)The H_?filtering design of networked control systems based on event triggering and quantization mechanism is studied.Firstly,the event trigger mechanism,quantization mechanism,network control system model,and its filtering model are given.Then a filtering error model is established.Based on the time-delay system analysis method and Lyapunov-Krasovskii functional method.A theorem for collaborative design of H_?filtering and event-triggered parameters is given.Finally,a pratical simulation example is used to illustrate the effectiveness of the method.(4)The dissipative filtering of quantized delay neural network control systems with event-triggered mechanism is studied.Based on the quantization mechanism,event trigger mechanism,time-delay neural network model,and its filtering model,a time-delay system modeling method is adopted to establish a robust data sampling error filtering model.Then,by constructing a suitable Lyapunov-Krasovskii functional and combining the theory of dissipative filtering,a theorem that can guarantee the asymptotic stability of the quantized delay neural network system and achieve strictly(Q,S,R)-?dissipation is obtained.At the same time,the theorem can also co-design event-trigger and dissipative filtering parameters.Finally,the feasibility and superiority of the theorem are proved in the simulation example.