scholarly journals Fuzzy Model Following Control

2000 ◽  
Vol 36 (2) ◽  
pp. 204-210 ◽  
Author(s):  
Tadanari TANIGUCHI ◽  
Kazuo TANAKA
Keyword(s):  
Fuzzy Model ◽  
Model Following Control ◽  
Model Following

Fuzzy Model-based Model Following Control for a Class of Nonlinear Systems

2008 ◽  
Vol 41 (2) ◽  
pp. 6850-6854
Author(s):  
Hiroshi Ohtake ◽  
Kazuo Tanaka ◽  
Hua O. Wang
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Model ◽  
Model Based ◽  
Model Following Control ◽  
Model Following

Robust fuzzy model-following control of robot manipulators

2000 ◽  
Vol 8 (4) ◽  
pp. 462-469 ◽  
Author(s):  
Chih-Hsin Tsai ◽  
Chi-Hsiang Wang ◽  
Wei-Song Lin
Keyword(s):  
Robot Manipulators ◽  
Fuzzy Model ◽  
Model Following Control ◽  
Model Following

scholarly journals Nonlinear Model Following Control via Takagi-Sugeno Fuzzy Model

1999 ◽  
Vol 3 (2) ◽  
pp. 68-74 ◽  
Author(s):  
Tadanari Taniguchi ◽  
◽  
Kazuo Tanaka
Keyword(s):  
Nonlinear Model ◽  
Fuzzy Controller ◽  
Reference Model ◽  
Fuzzy Model ◽  
Feedback System ◽  
Linear Matrix ◽  
Model Following Control ◽  
Model Following ◽  
Special Cases ◽  
Takagi Sugeno

This paper presents a unified approach toward regulation and servocontrol problems as special cases of a nonlinear model following control via the Takagi-Sugeno fuzzy model. New parallel distributed compensation (PDC) is presented for realizing a nonlinear model following control. The new PDC fuzzy controller mirrors the structures of two Takagi-Sugeno fuzzy models representing a nonlinear system and nonlinear reference model. First, we derive linear matrix inequality (LMI) conditions to linearize the error system between the feedback system and the nonlinear reference model. A controller is designed using LMI conditions. Design examples verify the usefulness of nonlinear model following control.

Robustness enhancement of an optimal fuzzy control electrical position servo system by a novel model-following approach

1998 ◽  
Vol 212 (6) ◽  
pp. 449-458
Author(s):  
G Li ◽  
K M Tsang ◽  
S L Ho
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Model ◽  
Proportional Integral Derivative ◽  
Adaptation Mechanism ◽  
Servo Systems ◽  
Model Following Control ◽  
Model Following ◽  
Parameter Variations ◽  
Position Servo ◽  
Novel Model

In this paper, an optimal fuzzy model-following control (OFMFC) scheme for position servo systems is presented. A fuzzy model controller (FMC) is used to generate an optimal reference output trajectory and a proportional-integral-derivative adaptation mechanism is included to force the plant output to follow the optimal model output. Both design of the FMC and that of the PID adaptation mechanism are addressed. Numerical results illustrate that the proposed OFMFC scheme can retain optimal system performance even in the presence of significant parameter variations and load disturbance. The comparison between an OFMFC system and an optimal fuzzy control (OFC) system shows that the OFMFC scheme is much more robust than the pure OFC scheme.

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