A design method of a fuzzy servo-controller for nonlinear plants has been presented. The proposed method is an error feedback scheme, where the controller also receives signals representing the plant operating points. Integrator is used in the control loop to ensure setpoint following, low-frequency disturbance rejection, and to enhance the robustness of the closed-loop system. A training scheme for the fuzzy controller is derived that minimizes the output error between a reference model and the plant. The training is conducted off-line for a class of setpoints conforming to the normal operating condition of the plant. Results of simulation studies are also presented. (C) 2001 Elsevier Science BN. All rights reserved
In this paper, the design, simulation and experimental verification of a self-learning fuzzy logic c...
This paper presents the formulation of novel implementation method based on parameter varying PD con...
A frequently discussed issue in the use of fuzzy systems for control design is related to the ad hoc...
A design method of a fuzzy servo-controller for nonlinear plants has been presented. The proposed me...
This paper presents the design of nonlinear servo system using fuzzy method. The idea behind this co...
This paper presents design and simulation investigation of a fuzzy controller and a conventional PID...
One characteristic of neuro-fuzzy systems is the possibility of incorporating preliminary informatio...
Includes bibliographical references (pages [52]-53)Traditional controllers for servo motor systems h...
The class of plants having the transfer functions HP(s) expressed in terms of (1) or (2):)1
[[abstract]]A fuzzy logic controller equipped with a training (adaptive) algorithm is proposed in th...
This paper presents the stability analysis of a fuzzy-model-based control system consisting of a non...
This paper presents the stability analysis of the fuzzy control system consisting of a nonlinear pla...
In this paper a new control method based on a combination of inverse dynamics method and neuro-fuzzy...
Abstract: A fuzzy adaptive control algorithm is presented in the paper. Its hallmarks are simplicit...
A Lyapunov-based stabilizing control design method for uncertain nonlinear dynamical systems using f...
In this paper, the design, simulation and experimental verification of a self-learning fuzzy logic c...
This paper presents the formulation of novel implementation method based on parameter varying PD con...
A frequently discussed issue in the use of fuzzy systems for control design is related to the ad hoc...
A design method of a fuzzy servo-controller for nonlinear plants has been presented. The proposed me...
This paper presents the design of nonlinear servo system using fuzzy method. The idea behind this co...
This paper presents design and simulation investigation of a fuzzy controller and a conventional PID...
One characteristic of neuro-fuzzy systems is the possibility of incorporating preliminary informatio...
Includes bibliographical references (pages [52]-53)Traditional controllers for servo motor systems h...
The class of plants having the transfer functions HP(s) expressed in terms of (1) or (2):)1
[[abstract]]A fuzzy logic controller equipped with a training (adaptive) algorithm is proposed in th...
This paper presents the stability analysis of a fuzzy-model-based control system consisting of a non...
This paper presents the stability analysis of the fuzzy control system consisting of a nonlinear pla...
In this paper a new control method based on a combination of inverse dynamics method and neuro-fuzzy...
Abstract: A fuzzy adaptive control algorithm is presented in the paper. Its hallmarks are simplicit...
A Lyapunov-based stabilizing control design method for uncertain nonlinear dynamical systems using f...
In this paper, the design, simulation and experimental verification of a self-learning fuzzy logic c...
This paper presents the formulation of novel implementation method based on parameter varying PD con...
A frequently discussed issue in the use of fuzzy systems for control design is related to the ad hoc...