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In this paper, we first develop a procedure for constructing Takagi-Sugeno fuzzy systems from input-output pairs to identify nonlinear dynamic systems. The fuzzy system can approximate any nonlinear continuous function to any arbitrary accuracy that is substantiated by the Stone Weierstrass theorem. A learning-based algorithm is proposed in this paper for the identification of T-S (Takagi-Sugeno)...
In this paper, a fuzzy cerebellar model arithmetic controller (FCMAC) is proposed to solve the tracking problem of a class of nonlinear systems. The control law of the proposed controller is employed to approximate an ideal control law for nonlinear systems. In addition to a compensated control law is used to assure the system stability. Both control laws are derived from the Lyapunov stability analysis,...
In this paper, a proportional-integral (PI) controller which integrates the fuzzy system is proposed to solve the tracking problem of a class of nonlinear systems. To achieve this purpose, the gain parameters of PI controller are adapted by proposing adaptation laws, such that an ideal control law for nonlinear systems can be estimated. In addition to a compensated controller is designed to assure...
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