Fuzzy approximation based model reference
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Date
2003
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Based on the universal approximation eapability
of the Takagi-Seguno (TS) fuzzy systems, we present a
solution to the model reference control of continuous-time
nonlinear systems problem. Using the assumption that a
fuzzy model exists for the considered nonlinear systems
class, a direct TS fuzzy adaptive controller is designed to
achieve the tracking objective. It is not required to estimate
the fuzzy model, only its existence assumption is required.
It is proved, using Lyapunov stability tools, that this adaptive
scheme is asymptotically stable and the tracking error
converges to zero. Simulation results illustrate the proposed
algorithm performance.
Description
Keywords
Fuzzy systems, Universal approximation, Reference model, Adaptive control, Nonlinear systems, Stability