메뉴 건너뛰기




Volumn , Issue , 2002, Pages 287-293

Convergence theory for multi-input discrete-time iterative learning control with coulomb friction, continuous outputs, and input bounds

Author keywords

Convergence theory; Coulomb friction; Input bounds limits; Iterative learning control; Multiple inputs

Indexed keywords

ALGORITHMS; INTEGRAL EQUATIONS; ITERATIVE METHODS; LEARNING SYSTEMS; MATHEMATICAL MODELS;

EID: 0036082396     PISSN: 10910050     EISSN: 1558058X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (11)
  • 4
    • 0028748859 scopus 로고
    • An algorithm for on-line parametric nonlinear least square optimization
    • Lake Buena Vista, Florida, December
    • (1994) 33rd IEEE CDC , pp. 2221-2226
    • Gorinevsky, D.1
  • 6
    • 0029191204 scopus 로고
    • Learning approximation of feedforward dependence on the task parameters: Experiments in direct-drive manipulator tracking
    • Seattle Washington
    • (1995) American Control Conference , pp. 883-887
    • Gorinevsky, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.