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Volumn 3, Issue , 2003, Pages 1469-1474

Neuro-fuzzy motion controller design using improved simple genetic algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOMATION; CONTROLLERS; GENETIC ALGORITHMS; MOTION CONTROL; PENDULUMS; ROBOTICS;

EID: 84856062994     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIRA.2003.1222214     Document Type: Conference Paper
Times cited : (7)

References (8)
  • 4
    • 0031153324 scopus 로고    scopus 로고
    • Self-scaling reinforcement algorithm for generating fuzzy controller
    • Series C
    • Y. Hasegawa and T. Fukuda. Self-Scaling Reinforcement Algorithm for Generating Fuzzy Controller. JSME Int. Journal, series C, Vol. 40, No. 2: 316-322, 1997.
    • (1997) JSME Int. Journal , vol.40 , Issue.2 , pp. 316-322
    • Hasegawa, Y.1    Fukuda, T.2
  • 6
    • 0029327985 scopus 로고
    • Designing fuzzy net controllers using genetic algorithms
    • J. Kim, Y. Moon and B. Ziegler. Designing Fuzzy Net Controllers Using Genetic Algorithms. IEEE Control Systems, Vol. 15, No. 3: 66-72, 1995.
    • (1995) IEEE Control Systems , vol.15 , Issue.3 , pp. 66-72
    • Kim, J.1    Moon, Y.2    Ziegler, B.3
  • 8
    • 84942356406 scopus 로고    scopus 로고
    • Design of fuzzy controller for robot motion by combined global and local learning
    • Cyber Scientific
    • G. Vachkov, O. Popovici Vlad and T. Fukuda. Design of Fuzzy Controller for Robot Motion by Combined Global and Local Learning. Machine Intelligence and Robotic Control, vol. 2, nr.3:99-106, Cyber Scientific, 2000.
    • (2000) Machine Intelligence and Robotic Control , vol.2 , Issue.3 , pp. 99-106
    • Vachkov, G.1    Popovici Vlad, O.2    Fukuda, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.