부산대학교 도서관

This paper is concerned with the integrated design of event-triggered control and mobile non-collocated sensor and actuator networks for a diffusion process. Firstly, an estimator is designed to estimate the states of the diffusion process and the mobile strategies of the sensors are given. Then, event-triggered control strategies are presented aiming at the benefit of saving the limited network resources. Based on the event-triggering mechanism, the value of estimation states will be sent to the controllers and the mobile actuators will move to the designated positions within the respective spatial domain. Thirdly, by using the Lyapunov functional approach, sufficient conditions are established to guarantee the boundedness of the event-triggered control system. Moreover, the existence of the lower bound of minimum inter-event time is also proved to exclude the Zeno behavior. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed results.
This paper is concerned with the integrated design of event-triggered control and mobile non-collocated sensor and actuator networks for a diffusion process. Firstly, an estimator is designed to estimate the states of the diffusion process and the mobile strategies of the sensors are given. Then, event-triggered control strategies are presented aiming at the benefit of saving the limited network resources. Based on the event-triggering mechanism, the value of estimation states will be sent to the controllers and the mobile actuators will move to the designated positions within the respective spatial domain. Thirdly, by using the Lyapunov functional approach, sufficient conditions are established to guarantee the boundedness of the event-triggered control system. Moreover, the existence of the lower bound of minimum inter-event time is also proved to exclude the Zeno behavior. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed results.