Control And Filtering Of Network Control System Based On Improved Adaptive Event Trigger

The network control systems connect sensors,controllers,actuators and controlled objects through the network to form a closed-loop feedback control system.The emergence of event triggering rules makes the sensor no longer need to send every data collected to the controller,which greatly saves network resources.However,the traditional event-triggered control scheme mainly compares the current sampling data with the data at the previous transmission time to determine whether the current sampling data is transmitted to the controller.In actual systems,the data at the historical transmission time also has a certain impact on whether the current data needs to be transmitted.In addition,the trigger parameters in traditional event-triggered control schemes are mostly given constant values,and cannot be dynamically adjusted as the system state changes.In this paper,a buffer-based adaptive event-triggered control scheme is designed to solve the above problems.The network control system with network delay and packet loss problems,T-S fuzzy control system,and filter design are studied.The main research includes1.A buffer-type event-triggered control scheme is proposed for the networked control system with time-delay and packets loss problems,and the advantages of introducing this method are discussed.Then,the shortcoming of constant value event-triggered control scheme is considered,and adaptive event-rigger is introduced to design.A buffer-based adaptive event-triggered control rule is developed.Finally,the current network security issues that are of great concern are considered,and corresponding buffer-type controllers are designed,and the network control system equations are reconstructed.Lyapunov functional and linear matrix inequality are used to prove the stability of the system,and sufficient conditions are given to make the system asymptotically stable,and the H_? performance index ? is obtained.Finally,two examples are used to prove the effectiveness of the proposed design.2.This paper has researched on T-S fuzzy control system,and the buffer-type adaptive event-triggered scheme is introduced into the T-S fuzzy control system.Based on the T-S fuzzy control equation,a network parallel distributed compensation T-S fuzzy controller with asynchronous prerequisite constraints is designed.The Lyapunov functional and linear matrix inequality are used to prove the stability of the system,sufficient conditions for the asymptotically stability of the system are given,and the H_? performance index ? of the T-S fuzzy control system is obtained.Finally,a set of examples were used to verify the rationality and correctness of the design scheme.3.The problem of H_? filter design for networked control systems with time-delay and packets loss problems is studied.The buffer-type adaptive event-triggered scheme is introduced into the H_? filter design,and the H_? filter error function is reconstructed based on the buffer to design the corresponding filter.The Lyapunov functional and LMI linear matrix inequality are used to prove the stability of the system,and sufficient conditions are provided to make the error system asymptotically stable.With the LMI toolbox,the state space parameter matrices and trigger matrix of the H_? filter are obtained.Finally,a set of examples are given to verify the effectiveness of the design scheme.