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Adaptive control of a class of nonlinear systems with fuzzy logic

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2 Author(s)
Chun-Yi Su ; Dept. of Mech. Eng., Victoria Univ., BC, Canada ; Stepanenko, Yury

An adaptive tracking control architecture is proposed for a class of continuous-time nonlinear dynamic systems, for which an explicit linear parameterization of the uncertainty in the dynamics is either unknown or impossible. The architecture employs fuzzy systems, which are expressed as a series expansion of basis functions, to adaptively compensate for the plant nonlinearities. Global asymptotic stability of the algorithm is established in the Lyapunov sense, with tracking errors converging to a neighborhood of zero. Simulation results for an unstable nonlinear plant are included to demonstrate that incorporating the linguistic fuzzy information from human experts results in superior tracking performance

Published in:

Fuzzy Systems, IEEE Transactions on  (Volume:2 ,  Issue: 4 )

Date of Publication:

Nov 1994

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