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Volumn 11, Issue 1, 2004, Pages 85-98

Neuro-fuzzy based approach for hybrid force/position robot control

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; FEEDFORWARD NEURAL NETWORKS; FORCE CONTROL; FUZZY SETS; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MANIPULATORS; OPTIMIZATION; PARAMETER ESTIMATION; POSITION CONTROL;

EID: 0345873432     PISSN: 10692509     EISSN: None     Source Type: Journal    
DOI: 10.3233/ica-2004-11107     Document Type: Article
Times cited : (8)

References (17)
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  • 3
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    • Dave, R.N.1
  • 8
    • 0031999331 scopus 로고    scopus 로고
    • A method of identifying influential data in fuzzy clustering
    • (Feb 98)
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  • 9
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    • Ph.D. Thesis, Dep. of Electrical Engineering and Computer Science, Univ. of California, Berkeley USA, July
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    • (1993)
    • Jang, J.S.R.1
  • 10
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    • Clustering and adaptive mobile robot navigation in a moving and unknown environment
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    • Pro. INES'98, Vienna, Austria, 1998 , pp. 55-60
    • Nefti, S.1    Djouani, K.2    Pontnau, J.3
  • 12
    • 0030385715 scopus 로고    scopus 로고
    • A new approach to fuzzy identification for complex system
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  • 13
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    • A new hybrid force-position control based neural networks approach for industrials applications
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.