Design of a networked tracking control system with a data-based approach

Tracking control is a very challenging problem in the networked control system ( NCS ), especially for the process with blurred mechanism and where only input-output data are available. This paper has proposed a data-based design approach for the networked tracking control system ( NTCS ). The method utilizes the input-output data of the controlled process to establish a predictive model with the help of fuzzy cluster modelling ( FCM ) technology. Then, the deduced error and error change in the future are treated as inputs of a fuzzy sliding mode controller ( FSMC ) to obtain a string of future control actions. These candidate control actions in the controller side are delivered to the plant side. Thus, the network induced time delays are compensated by selecting appropriate control action. Simulation outputs prove the validity of the proposed method.