This work presents a supervisory control strategy for Networked Control Systems (NCSs). This shows the identification and control of the plant using the fuzzy theory. The identification was perform through input-output data. The fuzzy model incorporates the delay dynamics within the fuzzy rules. The controller is composed by a nominal control (PID) and a supervisory control which proposed from the delay dynamics. A system of magnetic levitation is presented as a case study.
This paper concerns a problem of robust Hinfin control for a class of uncertain nonlinear networked control systems (NCSs), which can be represented by a T-S fuzzy model with uncertainties. Both network-induced delay and packet dropout are addressed. The controller design method is presented based on a delay-dependent approach, and the robust Hinfin controller gain matrices are obtain by solving a set of linear matrix inequalities (LMIs). Moreover, a general Lyapunov-Krasovskii functional is used, and some slack matrices, which bring much flexibility in solving LMIs, are introduced during the proof. Simulation results show the validity of the proposed method.
In order to track the beacon facular precisely in real time, a new method based on the self adjusting fuzzy-PID control is presented, which is suitable for ATP (acquisition, tracking, pointing) servo system for optical space communication. The advantages of fuzzy control and traditional PID control were combined in this method. The design method of fuzzy-PID controller is discussed. The design and simulation of the system were implemented by using the fuzzy control tool box in MATLAB. The comparison of the obtained result with that of the conventional PID controller was carried out. The simulation results show that the system is much better than the conventional PID controller, and the LOS (liner of light) stability of ATP system is improved.