An improved fuzzy adaptive predictive control method for network control system

SuhuanYi

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12B) 313-317

University of Science and Technology Liaoning, Anshan, Liaoning 114000,China

In view of the random time-varying time delay of networked control system, a kind of method using least square support vector machine to forecast the network time delay is put forward. Network time delay is modelled as a nonlinear time sequence firstly, and then the radial basis function is used as kernel function of the least square support vector machine, so that the prediction model of time delay for network control system is established. Then the estimated time delay is used as the parameters of the fuzzy adaptive predictive controller for predictive control of networked control system. Simulation result shows that fuzzy adaptive predictive controller based on least square support vector machine time delay identification enables the system output to track the desired output very well.