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Synthesis of an LMI-based fuzzy control system with guaranteed optimal H performance

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1 Author(s)
Sung-Kyung Hong ; Dept. of Mech. Eng., Texas A&M Univ., College Station, TX

This paper proposes a systematic design methodology for the Takagi-Sugeno (TS) model based fuzzy control system with guaranteed H performance and additional constraints on the closed-loop pole location. These combined two objectives are formulated as a convex optimization problem involving LMIs (linear matrix inequality). To demonstrate the usefulness of the proposed design methodology, it is applied to the robust regulation problem of a nonlinear magnetic bearing system. Simulation results show that the proposed fuzzy controller yields the optimal disturbance rejection performance and the desired transient responses simultaneously

Published in:

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on  (Volume:1 )

Date of Conference:

4-9 May 1998