Design of Self-Tuning Regulator for Large-Scale Interconnected Hammerstein Systems

This paper deals with the self-tuning regulator for large-scale stochastic nonlinear systems,which are composed of several interconnected nonlinear monovariable subsystems. each interconnected subsystem is described by discrete hammerstein model with unknown and time-varying parameters. this self-tuning control is developed on the basis of the minimum variance approach and is combined by a recursive algorithm in the estimation step. the parametric estimation step is performed on the basis of the prediction error method and the least-squares techniques. simulation results of the proposed self-tuning regulator for two interconnected nonlinear hydraulic systems show the reliability and effectiveness of the developed method. © 2016 mourad elloumi and samira kamoun.