Hybrid Feedback Stabilization of Fuzzy Nonlinear Systems | Zendy

Yingqi Zhang | Zendy; Caixia Liu | Zendy; Xiaowu Mu | Zendy

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Hybrid Feedback Stabilization of Fuzzy Nonlinear Systems

Author(s) -

Yingqi Zhang,

Caixia Liu,

Xiaowu Mu

Publication year - 2011

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 - 10.1155/2011/579871

Subject(s) - nonlinear system , fuzzy logic , control theory (sociology) , fuzzy control system , mathematics , class (philosophy) , state (computer science) , control (management) , computer science , artificial intelligence , algorithm , physics , quantum mechanics

This paper is concerned with the problem of stabilizing one family of fuzzynonlinear systems by means of fuzzy quantized feedback. The hybrid control strategyoriginating in earlier work by Brockett and Liberzon(2000) and Liberzon (2003) relies on the possibility of making discrete online adjustments of quantizer parameters. We explore this method here for one class of fuzzy nonlinear systems with fuzzy quantizers affecting the state of the system. New results on thestabilization of the family of fuzzy nonlinear systems are obtained by choosingappropriately quantized strategies. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed method

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