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Robust Tracking Control Design for Nonlinear Systems via Fuzzy Observer

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2 Author(s)
Guang-hui Chang ; Coll. of Naval Archit. & Power, Naval Univ. of Eng., Wuhan, China ; Jie-chang Wu

This paper presents fuzzy tracking control design for nonlinear systems. Considering not all states of the nonlinear system are fully available or measured while Takagi-Sugeno (T-S) fuzzy model is used to represent the dynamic of nonlinear system, a fuzzy observer-based fuzzy controller is developed to reduce the tracking error. This case yields a disturbance when designing tracking control, so H∞ Scheme is employed to achieve the prescribed robust tracking performance. Simulation example is provided to illustrate the tracking control design procedure and performance of the proposed methods.

Published in:

Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on  (Volume:2 )

Date of Conference:

28-29 Oct. 2012