The Experts below are selected from a list of 58728 Experts worldwide ranked by ideXlab platform
Jinjye Lin - One of the best experts on this subject based on the ideXlab platform.
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a pid type Fuzzy Controller with self tuning scaling factors
Fuzzy Sets and Systems, 2000Co-Authors: Zhiwei Woo, Hungyuan Chung, Jinjye LinAbstract:By relating to the conventional PID control theory, we propose a new Fuzzy Controller structure, namely PID type Fuzzy Controller. In order to improve further the performance of the transient state and the steady state of the PID type Controller, we develop a method to tune the scaling factors of the PID type Fuzzy Controller on line. Simulation of the PID type Fuzzy Controller with the self-tuning scaling factors shows a better performance in the transient and steady state response.
Masaharu Mizumoto - One of the best experts on this subject based on the ideXlab platform.
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pid type Fuzzy Controller and parameters adaptive method
Fuzzy Sets and Systems, 1996Co-Authors: Wu Zhi Qiao, Masaharu MizumotoAbstract:Abstract The authors of this paper try to analyze the dynamic behavior of the product-sum crisp type Fuzzy Controller, revealing that this type of Fuzzy Controller behaves approximately like a PD Controller that may yield steady-state error for the control system. By relating to the conventional PID control theory, we propose a new Fuzzy Controller structure, namely PID type Fuzzy Controller which retains the characteristics similar to the conventional PID Controller. In order to improve further the performance of the Fuzzy Controller, we work out a method to tune the parameters of the PID type Fuzzy Controller on line, producing a parameter adaptive Fuzzy Controller. Simulation experiments are made to demonstrate the fine performance of these novel Fuzzy Controller structures.
Zhiwei Woo - One of the best experts on this subject based on the ideXlab platform.
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a pid type Fuzzy Controller with self tuning scaling factors
Fuzzy Sets and Systems, 2000Co-Authors: Zhiwei Woo, Hungyuan Chung, Jinjye LinAbstract:By relating to the conventional PID control theory, we propose a new Fuzzy Controller structure, namely PID type Fuzzy Controller. In order to improve further the performance of the transient state and the steady state of the PID type Controller, we develop a method to tune the scaling factors of the PID type Fuzzy Controller on line. Simulation of the PID type Fuzzy Controller with the self-tuning scaling factors shows a better performance in the transient and steady state response.
Wu Zhi Qiao - One of the best experts on this subject based on the ideXlab platform.
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pid type Fuzzy Controller and parameters adaptive method
Fuzzy Sets and Systems, 1996Co-Authors: Wu Zhi Qiao, Masaharu MizumotoAbstract:Abstract The authors of this paper try to analyze the dynamic behavior of the product-sum crisp type Fuzzy Controller, revealing that this type of Fuzzy Controller behaves approximately like a PD Controller that may yield steady-state error for the control system. By relating to the conventional PID control theory, we propose a new Fuzzy Controller structure, namely PID type Fuzzy Controller which retains the characteristics similar to the conventional PID Controller. In order to improve further the performance of the Fuzzy Controller, we work out a method to tune the parameters of the PID type Fuzzy Controller on line, producing a parameter adaptive Fuzzy Controller. Simulation experiments are made to demonstrate the fine performance of these novel Fuzzy Controller structures.
James J. Buckley - One of the best experts on this subject based on the ideXlab platform.
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Nonlinear Fuzzy Controller
Information Sciences, 1992Co-Authors: James J. BuckleyAbstract:Abstract We consider a Fuzzy Controller with two inputs, triangular Fuzzy numbers, Zadeh logic to evaluate linear control rules, and a center of gravity defuzzifier. We derive a closed form expression for the defuzzified output and show it is a nonlinear Controller. We then analyze the nonlinearities of the Fuzzy Controller with respect to the PI Controller.
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Theory of the Fuzzy Controller
Fuzzy Sets and Systems, 1992Co-Authors: James J. BuckleyAbstract:Abstract We first introduce notation in an attempt to standardize the description of a basic Fuzzy Controller. If r 1 , r 2 , …, r n are the real number inputs to the Fuzzy Controller and δ is its defuzzified output, then δ = F ( r 1 ,…, r n ) for some function F . By the ‘theory of the Fuzzy Controller’ we mean in this paper the study of the structure of F for elementary Fuzzy Controllers. Using this standardized notation we first survey the known results on the theory of the Fuzzy Controller and then discuss important future research topics in this area.
