Design of Self-Tuning Regulator for Large-Scale Interconnected Hammerstein Systems. (4th April 2016)

• Record Type: Journal Article
• Authors: Elloumi, Mourad; Kamoun, Samira
• Other Names: Wu Ai-Guo Academic Editor.
• Is Part Of: Journal of control science and engineering. Volume 2016(2016)
• Publication Date: 2016-04-04
• Subjects: Control theory -- Periodicals; 629.831205
• DOI: 10.1155/2016/6769714
• Languages: English
• ISSNs: 1687-5249

Abstract

Abstract : 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.