메뉴 건너뛰기




Volumn 31, Issue 3, 2001, Pages 445-450

Online learning in adaptive neurocontrol schemes with a sliding mode algorithm

Author keywords

Adaptive control; Intelligent control; Learning control systems; Neurocontrollers; Variable structure systems

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; INTELLIGENT CONTROL; LEARNING ALGORITHMS; NEURAL NETWORKS; PREDICTIVE CONTROL SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); SLIDING MODE CONTROL;

EID: 0035359286     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.931542     Document Type: Article
Times cited : (56)

References (28)
  • 2
    • 0032097415 scopus 로고    scopus 로고
    • Structurally dynamic wavelet networks for adaptive control of robotic systems
    • (1998) Int. J. Contr. , vol.70 , Issue.3 , pp. 405-421
  • 8
    • 0033743851 scopus 로고    scopus 로고
    • Stabilizing and robustifying the learning mechanisms of artificial neural networks in control engineering applications
    • (2000) Int. J. Intell. Syst. , vol.15 , Issue.5 , pp. 365-388
    • Efe, M.O.1    Kaynak, O.2
  • 13
    • 0033143326 scopus 로고    scopus 로고
    • Neural networks learning with sliding mode control: The sliding mode backpropagation algorithm
    • (1999) Int. J. Neural Syst. , vol.9 , Issue.3 , pp. 187-194
  • 17
    • 44049116478 scopus 로고
    • Forward models: Supervised learning with a distal teacher
    • (1992) Cogn. Sci. , vol.16 , pp. 307-354
    • Jordan, M.I.1
  • 22
    • 0004503125 scopus 로고
    • Adaptive state representation and estimation using recurrent connectionist networks
    • W. T. Miller, R. S. Sutton, and P. J. Werbos, Eds. Cambridge, MA: MIT Press
    • (1990) Neural Networks for Control , pp. 97-114
    • Williams, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.