Estimation And Control Of Distributed Parameter Systems Based On Wireless Sensor-Actuator Networks

Wireless sensor-actuator networks can perceive and change the physical systems. And in recent years, it is one of the most hot topics in the field of control research. On the other hand, most of the physical systems which vary with time and space can be represented as distributed parameter systems. This dissertation mainly studies the estimation and control problems of the distributed parameter systems based on wireless sensor-actuator networks. The main works can be generalized as follows:1. For the state estimation problem of the distributed parameter systems based on the wireless sensor networks with missing measurements, the centralized estimator and the distributed consensus estimators are designed for the distributed parameter systems.The sufficient conditions are derived to guarantee the estimation error systems to be globally asymptotically stable in the mean square sense by the Lyapunov method and random analysis theory. Numerical simulations are shown to verify the effectiveness of the obtained results.2. For the control problem of the distributed parameter systems using the observerbased mobile actuators, the motion strategy of the mobile actuators based on the observer is designed using the operator semigroup theory and the Lyapunov method. The asymptotic stability of the distributed parameter systems which are controlled by the mobile actuators is proved. Through simulations, the observer-based mobile actuators can effectively enhance the control performance.3. For the event-driven control problem of the distributed parameter systems using non-collocated mobile sensor and mobile actuator, we give the state observer based on the measurement information provided by the mobile sensor and the motion strategy of mobile sensor. The event-driven condition, the event-driven controller and the optimal position of the mobile actuator are developed based the observer information. The bounded region of the system convergence is given and the boundedness of the minimum inter-event time is proved.4. The study that the second-order mobile agents with collocated sensors and actuators are utilized to control the distributed parameter systems with delay is considered.Based on the operator semigroup theory and the Lyapunov method, the stability of the distributed parameter control systems with delay is analysized and the motion strategy of the second-order mobile agents is designed. Through simulations, the better control performance of the systems with delay can be obtained by the mobile agents.5. Considering the probable collisions occurring in the movement of the second-order mobile agents with the collocated sensors and actuators, the problem of collision avoidance is investigated firstly for the second-order mobile agents in the control of the distributed parameter systems. Based on the operator semigroup theory and Lyapunov method, a new mobile scheme is designed for second-order mobile agents which cooperatively control the distributed parameter systems and are guaranteed collision avoidance.