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Robust Adaptive Fuzzy Control by Backstepping for a Class of MIMO Nonlinear Systems

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1 Author(s)
Hyeongcheol Lee ; Div. of Electr. & Biomed. Eng., Hanyang Univ., Seoul, South Korea

This paper presents a robust adaptive control method for a class of multi-input-multi-output (MIMO) nonlinear systems that are transformable to a parametric-strict-feedback form which has couplings among input channels and the appearance of parametric uncertainties in the input matrices. The proposed approach effectively combines the design techniques of robust adaptive control by backstepping and adaptive fuzzy-logic control in order to remove the matching-condition requirement and to provide boundedness of tracking errors, even under dominant model uncertainties and poor parameter adaptation. Unlike previous robust adaptive fuzzy controls of MIMO nonlinear systems, this research introduces the robustness terms explicitly in the controller structure to counteract the effects of model uncertainties and parameter-adaptation errors. Uniform boundedness of the MIMO nonlinear control system is proved, and simulation results further validate the effectiveness and performance of the proposed control method.

Published in:

Fuzzy Systems, IEEE Transactions on  (Volume:19 ,  Issue: 2 )