Fuzzy adaptive control
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Date
2000
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Journal ISSN
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Publisher
IEEE
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.
Description
Keywords
Fuzzy systems, Adaptive control, Stability