메뉴 건너뛰기




Volumn 1, Issue , 2001, Pages 1563-1576

Variable structure systems theory based training strategies for computationally intelligent systems

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; FUZZY SETS; INVARIANCE; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); THEOREM PROVING; UNCERTAIN SYSTEMS;

EID: 0035695321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (65)
  • 29
    • 0026763734 scopus 로고
    • Robust output tracking control of nonlinear MIMO systems via sliding mode technique
    • (1992) Automatica , vol.28 , pp. 145-151
    • Elmali, H.1    Olgac, N.2
  • 37
    • 0032688357 scopus 로고    scopus 로고
    • A comparative study of neural network structures in identification of nonlinear systems
    • (1999) Mechatronics , vol.9 , Issue.3 , pp. 287-300
    • Efe, M.O.1    Kaynak, O.2
  • 49
    • 0003695992 scopus 로고    scopus 로고
    • Variable structure systems theory based training strategies for computationally intelligent systems
    • Ph.D. Dissertation, Bogazici University
    • (2000)
    • Efe, M.O.1
  • 51
    • 0030192426 scopus 로고    scopus 로고
    • On-line neural network learning algorithm with exponential convergence rate
    • July
    • (1996) Electronic Letters , vol.32 , Issue.15 , pp. 1381-1382
    • Zhao, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.