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Adaptive fuzzy observer with minimal dynamic order for uncertain nonlinear systems

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2 Author(s)
Park, J.-H. ; Dept. of Electr. Eng., Korea Univ., Seoul, South Korea ; Park, G.-T.

The design of a robust adaptive fuzzy observer for uncertain nonlinear dynamic systems is presented. The Lyapunov synthesis approach is used to guarantee a uniformly ultimately bounded property of the state observation error, as well as of all other signals in the closed-loop system. The realisation of the minimal dynamic order of the observer is considered. For this purpose, a method which does not need a strictly positive real condition is combined with a dynamic rule activation scheme with an online estimation of fuzzy parameters. No a priori knowledge of an upper bound on the lumped uncertainty is required. The theoretical results are illustrated through a simulation example.

Published in:

Control Theory and Applications, IEE Proceedings -  (Volume:150 ,  Issue: 2 )

Date of Publication:

March 2003

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