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Cited by 1,617

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Stable adaptive fuzzy control of nonlinear systems

Wang, L.-X.·1993·IEEE Transactions on Fuzzy Systems

Abstract

A direct adaptive fuzzy controller that does not require an accurate mathematical model of the system under control, is capable of incorporating fuzzy if-then control rules directly into the controllers, and guarantees the global stability of the resulting closed-loop system in the sense that all signals involved are uniformly bounded is developed. The specific formula for the bounds is provided, so that controller designers can determine the bounds based on their requirements. The direct adaptive fuzzy controller is used to regulate an unstable system to the origin and to control the Duffing chaotic system to track a trajectory. The simulation results show that the controller worked without using any fuzzy control rules, and that after fuzzy control rules were incorporated the adaptation speed became much faster. It is shown explicitly how the supervisory control forces the state to remain within the constraint set and how the adaptive fuzzy controller learns to regain control.>

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Metadata

Authors
Wang, L.-X.
Venue
IEEE Transactions on Fuzzy Systems
Published
1993-05
Volume
1
Issue
2
Pages
146-155
ISSN
1063-6706 (ISSN-L)
OpenAlex
W1996340840
Cited by
1,617
References
0
FWCI
37.52
Type
journal article
Language
en
Open access
closed

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