OPTIMAL DESIGN AND ROBUSTIFICATION OF FUZZY-LOGIC CONTROLLERS FOR ROBOTIC MANIPULATORS USING GENETIC ALGORITHMS

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MOEINI A.; NARIMANZADEH N.; DARVIZEH A.

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Journal Paper

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Journal: AMIRKABIR Year:2002 | Volume:13 | Issue:52 Page(s): 116-125

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Information Journal Paper

Title

OPTIMAL DESIGN AND ROBUSTIFICATION OF FUZZY-LOGIC CONTROLLERS FOR ROBOTIC MANIPULATORS USING GENETIC ALGORITHMS

Author(s)

MOEINI A. | NARIMANZADEH N. | DARVIZEH A. | Issue Writer Certificate

Keywords

ROBOTIC MANIPULATORS CONTROL

GENETIC ALGORITHM

FUZZY LOGIC

OPTIMIZATION

Abstract

this paper, GENETIC ALGORITHMs are used in the design and robostification of various moel-based/non-model-based fuzzy-logic controllers for robotic manipulators. It is demonstrated that GENETIC ALGORITHMs provide effective means of designing the optimal set of fuzzy rules as well as the optimal domains of associated fuzzy sets in a new class of model-based-fuzzy-logic controllers. Furthermore, it is shown that GENETIC ALGORITHMs are very effective in the optimal design and robustification of non-model-based multivariable fuzzy-logic controllers for robotic manipulators.

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APA: Copy

MOEINI, A., NARIMANZADEH, N., & DARVIZEH, A.. (2002). OPTIMAL DESIGN AND ROBUSTIFICATION OF FUZZY-LOGIC CONTROLLERS FOR ROBOTIC MANIPULATORS USING GENETIC ALGORITHMS. AMIRKABIR, 13(52), 116-125. SID. https://sid.ir/paper/534379/en

Vancouver: Copy

MOEINI A., NARIMANZADEH N., DARVIZEH A.. OPTIMAL DESIGN AND ROBUSTIFICATION OF FUZZY-LOGIC CONTROLLERS FOR ROBOTIC MANIPULATORS USING GENETIC ALGORITHMS. AMIRKABIR[Internet]. 2002;13(52):116-125. Available from: https://sid.ir/paper/534379/en

IEEE: Copy

A. MOEINI, N. NARIMANZADEH, and A. DARVIZEH, “OPTIMAL DESIGN AND ROBUSTIFICATION OF FUZZY-LOGIC CONTROLLERS FOR ROBOTIC MANIPULATORS USING GENETIC ALGORITHMS,” AMIRKABIR, vol. 13, no. 52, pp. 116–125, 2002, [Online]. Available: https://sid.ir/paper/534379/en

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