Fuzzy Filter Design Of Networked System Based On Adaptive Event-triggered Scheme

With the rapid development of computers,modern technology,communication technology,etc.,the study of networked nonlinear systems is not only of great significance in theory,but also of practical value in the real society.This thesis focuses on networked nonlinear systems and networked interconnected systems.As we all know,filters have become an important research topic in the fields of control and signal processing systems,and are commonly used in various fields such as industrial,commercial,and government distribution networks,aerospace technology,sound signal processing,and image processing.In this thesis,corresponding fuzzy filters are designed for specific systems,due to limited bandwidth,event trigger generators are placed in the networked system,and adaptive event rules are set for the original system,thereby reducing the transmission of unnecessary data packets.The main contents are as follows:1.Based on adaptive event-triggered(AET)scheme,fuzzy filters that meet H_? performance are designed in networked nonlinear system.First of all,the limited bandwidth is considered when designing the filters,event generators are set and AET schemes are set in the system.When the data packet passes through the event generator,it will determine whether or not it meets the adaptive event rules,so as to decide whether to release it to the network,which can improve the utilization of network resources.Secondly,the time delay is fully considered,the filter error system is modeled as a time delay system,and the newer related theory of the time delay system is used to achieve the goal of designing the filter parameters and AET parameters together.The fuzzy line integral method is used to establish the Lyapunov functional,without solving the derivative of the membership function,and the fuzzy information is fully considered,Wirtinger inequality and reciprocally convex lemma are used to scale the integral term,which plays an effective role in reducing the conservativeness of the result.Finally,numerical examples illustrate the superiority of the proposed scheme.2.The problems of fuzzy filter of networked nonlinear interconnected systems based on the decentralized AET scheme are studied.Firstly,a new decentralized AET scheme is proposed,which discards some unnecessary data packets through decentralized adaptive rules,thereby saving network communication resources.Secondly,the fuzzy line integration method is used to analyze the H_? performance of the filter error system,and there is no need to give the upper bound of the time derivative of the membership function in advance.Then,the combination of Wirtinger inequality and the augmented reciprocally convex matrix inequality is used to establish sufficient conditions for the filter error system to satisfy the H_? performance.In addition,a method of codesigning decentralized AET parameters and fuzzy filter parameters is proposed.Finally,two examples are used to verify the effectiveness of the proposed method.