Regular Papers
International Journal of Control, Automation and Systems 2004; 2(1): 68-75
© The International Journal of Control, Automation, and Systems
On-Line Parameter Estimation Scheme for Uncertain Takagi-Sugeno Fuzzy Models
In this paper, an estimator with an appropriate adaptive law for updating parameters is designed and analyzed based on the Lyapunov theory. The adaptive law is designed so that the estimation model follows the parameterized plant model. Using the proposed estimator, the parameters of the T-S fuzzy model can be estimated by observing the behavior of the system and it can be a basis for indirect adaptive fuzzy control.
Keywords Parameter estimation, Takagi-Sugeno fuzzy model, fuzzy systems, adaptive control, nonlinear system
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Regular Papers
International Journal of Control, Automation and Systems 2004; 2(1): 68-75
Published online March 1, 2004
Copyright © The International Journal of Control, Automation, and Systems.
On-Line Parameter Estimation Scheme for Uncertain Takagi-Sugeno Fuzzy Models
Young-Wan Cho and Chang-Woo Park
Korea Electronics Technology Institute
Abstract
In this paper, an estimator with an appropriate adaptive law for updating parameters is designed and analyzed based on the Lyapunov theory. The adaptive law is designed so that the estimation model follows the parameterized plant model. Using the proposed estimator, the parameters of the T-S fuzzy model can be estimated by observing the behavior of the system and it can be a basis for indirect adaptive fuzzy control.
Keywords: Parameter estimation, Takagi-Sugeno fuzzy model, fuzzy systems, adaptive control, nonlinear system
Vol. 22, No. 10, pp. 2955~3252
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