Adaptive Control for a Class of Nonlinear System with Redistributed Models | Zendy

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Adaptive Control for a Class of Nonlinear System with Redistributed Models

Author(s) -

Haisen Ke,

Li Jiang

Publication year - 2012

Publication title -

journal of control science and engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.208

H-Index - 18

eISSN - 1687-5257

pISSN - 1687-5249

DOI - 10.1155/2012/409139

Subject(s) - control theory (sociology) , transient (computer programming) , nonlinear system , adaptive control , controller (irrigation) , computer science , stability (learning theory) , class (philosophy) , control engineering , multiple models , control (management) , engineering , artificial intelligence , machine learning , physics , quantum mechanics , agronomy , biology , operating system

Multiple model adaptive control has been investigated extensively during the last ten years in which the “switching” or “switching and tuning” have emerged as the mainly approaches. It is the “switching” that can improve the transient performance to some extent and also make it difficult to analyze the stability of the system with multiple models adaptive controller. Towards this goal, this paper develops a novel multiple models adaptive controller for a class of nonlinear system in parameter-strict-feedback form which not only improves the transient performance significantly, but also guarantees the stability of all the states of the closed-loop system. A simulation example is proposed to illustrate the effectiveness of the developed multiple models adaptive controller

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