Output Feedback Control Of Networked Systems Based On Event-triggered Mechanism

The introduction of a communication network into closed-loop control makes the analysis and design of the system complicated.Objective network-induced constraints,such as delay,disturbance,cyber attacks,signal quantization,and so on,will affect the performance of networked control systems.It is of great significance to study the output feedback control of networked systems based on an event-triggered mechanism.The system modeling,stability analysis,controller gain and event-triggered matrix co-design are studied.The specific research works are as follows:1)Aiming at the insecure factors in the network,the problem of event-triggered extended dissipation control of networked systems affected by random deception attacks is studied.Considering the influence of random deception attacks and external disturbances on the closed-loop system,an improved system model is established.Based on Lyapunov stability theory and linear matrix inequality method,a joint solution of event-triggered matrix and output feedback controller gain is designed.Numerical simulations show that this method can reduce the network load and improve the utilization of system resources.2)For the randomness of network-induced delay and the existence of controller gain perturbation,the event-triggered non-fragile control problem of networked systems with random delay is studied.An improved Lyapunov-Krasovskii functional is constructed by taking full use of the probability distribution information of interval delay and the sawtooth structure of input delay.The non-fragile output feedback controller gain and event-triggered matrix are solved by using a cone-complement linearization algorithm.Numerical examples are given to verify the validity of the proposed non-fragile control scheme.3)Considering the influence of quantization error and external disturbances on the system,the quantization output feedback control problem of the networked system based on an event-triggered mechanism is solved.The quantizer is used to quantify the sampled signals of the system,and the quantization error is transformed into the uncertainty under the sector boundary.The output feedback controller is designed to eliminate the influence of quantization error on the system stability.Compared with the existing results,the proposed control scheme can achieve a larger sampling period.Figure 27;Table 3;Reference 61...