Predictor corrector controller using Wiener fuzzy convolution model

This paper investigates the application of hybrid fuzzy models in modelling and model based predictive control of a delayed and distributed parameter system with a non-linear feature. The presented hybrid fuzzy convolution model consists of a non-linear fuzzy steady-state model and an impulse response model based dynamic part. The p roposed non-linear block-oriented dynamic model is applied to form a predic tor corrector controller. The control of a laboratory-sized heating system is chosen as a realistic n on-linear case study for the demonstration of the control algorithm. The pr oposed model based controller is shown capable of controlling the non-linea r process that operates over wide range.