Design Of Fuzzy Filters For Nonlinear Networked Systems Based On Adaptive Event-triggered Schem

In recent years,networked control system has become a research hotspot and has been widely used in power systems,intelligent transportation,unmanned aerial vehicles and other fields.In networked systems,adaptive event triggering(AET)scheme,as a method that can effectively utilize the communication resources and computing power in networked control systems,has attracted the attention of many scholars.Filters can be used to reduce the impact of external disturbances on the system,so the research on filter design has important theoretical and practical significance.In this thesis,the design of AET fuzzy filters for nonlinear networked systems and nonlinear networked descriptor systems is studied by combining various improved techniques,and a series of results in terms of LMIs with low conservation are obtained.The main research work and achievements are summarized as follows:1.The fuzzy filter design of nonlinear networked systems is studied by using AET scheme.Firstly,an improved AET scheme is proposed to save communication resources.Secondly,an asymmetric L-K functional method is introduced in the H_∞performance analysis of filter error systems.This method improves the traditional symmetric functional method,and the new functional no longer requires to involve all the symmetry and positive definite of the matrix.Then,a new sufficient condition is obtained to meet the H_∞performance by combining the method with membership-function-dependent approach.Further,a relaxed co-design method of the corresponding filter and event-triggering parameters is obtained.Finally,examples are provided to verify the advantage of the new approaches.2.The problems of fuzzy filter of nonlinear networked singular systems based on the AET scheme is studied.Firstly,an improved AET scheme is proposed,in which the trigger parameter can automatically adjust the value as the system’s output changes to save communication resources.Secondly,the asymmetric L-K functional method is introduced into the H_∞performance analysis of the singular filtering error system,and a new sufficient condition for satisfying the H_∞performance is obtained.Then,a co-design method of the corresponding filter and event-triggering parameters is obtained.Finally,the results obtained are shown less conservative than the previous results,and examples are provided at the end to show the effectiveness and advantages of the results.