Fuzzy adaptive control

dc.contributor.author	Goléa, N.
dc.contributor.author	Benmahammed, K.
dc.contributor.author	Goléa, A.
dc.date.accessioned	2022-04-27T03:07:37Z
dc.date.available	2022-04-27T03:07:37Z
dc.date.issued	2000
dc.description.abstract	This paper investigates a direct fuzzy adaptive control of continuous-time nonlinear systems. The proposed adaptive scheme uses a Takagi-Seguno (TS) fuzzy controller, which allows the inclusion of a priori information in terms of qualitative knowledge about the plant operating points or analytical conventional regulators (e.g., state feedback) for those operating points. Stability and robustness of this adaptive scheme are studied using the hyperstability tools. It is proven that this adaptive controller is globally asymptotically stable, and robust against external disturbance and approximation error. Fast tracking, low complexity and parameter convergence characteristics of the proposed approach are illustrated by simulation results.	ar
dc.identifier.isbn	0-7803-6542-9100
dc.identifier.uri	http://hdl.handle.net/123456789/12944
dc.language.iso	en	ar
dc.publisher	IEEE	ar
dc.subject	Fuzzy systems	ar
dc.subject	Adaptive control	ar
dc.subject	Stability	ar
dc.title	Fuzzy adaptive control	ar
dc.title.alternative	an hyperstability approach	ar
dc.type	Article	ar

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