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This paper proposes a Takagi-Sugeno-Kang (TSK) fuzzy controller design using scaling gain adaptation. The proposed adaptation law for the TSK fuzzy controller resulting from the direct adaptive approach is used to appropriately determine the control signal of the controller. In this study, we first organize the TSK fuzzy controller without any specific experience information about the controlled system...
This paper proposes an adaptive proportional-integral-derivative (PID) controller which integrates the fuzzy sets with the Cerebella Model Articulation Controller (CMAC). Three gain parameters of PID controller, constructed by three fuzzy CMAC (FCMAC) models, are real-time modified in the sense of adaptation to solve the tracking control problem of a class of nonlinear systems. The proposed PID controller...
In the paper, a Fuzzy Cerebellar Model Arithmetic Controller (FCMAC) is proposed to solve the tracking problems of a class of nonlinear systems. First, the proposed FCMAC via parameters adaptation such that it is able to approximate an ideal controller, and then a robust controller is appended to assure the system stability in the present of approximated error. Third, the redesign of the proposed...
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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