Nonlinear control design using the gate function approach

This paper is concerned with the application of the gate function approach to the identification and control of nonlinear systems. The model parameters are estimated by minimising the mean-square error between the measurement and model output. An interpolation scheme is employed to update the model output. A predictive type controller is used to design a nonlinear controller. The novel control design approach proposed is applicable to the fading memory class of nonlinear systems. Simulation results show that the gate function approach is superior to the Volterra series based methods, and comparable to neural network and fuzzy logic techniques. The proposed method is applied to the pH control problem