메뉴 건너뛰기




Volumn , Issue , 2003, Pages 1131-1136

Identification of backlash, friction and linear parameters of a nonlinear drive system

Author keywords

Gradient Methods; Identification; Neural Networks; Nonlinear Systems

Indexed keywords

APPROXIMATION THEORY; CONTROL EQUIPMENT; DIFFERENTIAL EQUATIONS; ELECTRIC LOADS; FRICTION; GRADIENT METHODS; IDENTIFICATION (CONTROL SYSTEMS); LINEAR EQUATIONS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; RECURRENT NEURAL NETWORKS; REGRESSION ANALYSIS;

EID: 12744263195     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (13)
  • 2
    • 0028460355 scopus 로고
    • A survey of models, analysis tools and compensation methods for the control of machines with friction
    • B. Armstrong-Hélouvry, P. Dupont, and C. Canusas de Wit. A survey of models, analysis tools and compensation methods for the control of machines with friction. Automation, Vol. 30, No. 7, pp. 1083-1138, 1994.
    • (1994) Automation , vol.30 , Issue.7 , pp. 1083-1138
    • Armstrong-Hélouvry, B.1    Dupont, P.2    De Wit, C.C.3
  • 9
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural networks
    • March
    • K. Narendra and K. Parthasarathy. Identification and Control of Dynamical Systems using Neural Networks. IEEE Trans. on Neural Networks. Vol. 1, No. 1, pp. 4-27, March, 1990.
    • (1990) IEEE Trans. on Neural Networks , vol.1 , Issue.1 , pp. 4-27
    • Narendra, K.1    Parthasarathy, K.2
  • 11
    • 0035365452 scopus 로고    scopus 로고
    • Intelligent modelling, observation and control for nonlinear systems
    • June
    • D. Schröder, C. Hintz, and M. Rau. Intelligent modelling, observation and control for nonlinear systems. IEEE/ASME Trans. on Mechatronics, Vol. 6, No. 2, pp. 122-131, June, 2001.
    • (2001) IEEE/ASME Trans. on Mechatronics , vol.6 , Issue.2 , pp. 122-131
    • Schröder, D.1    Hintz, C.2    Rau, M.3
  • 12
    • 0026254768 scopus 로고
    • A general regression neural network
    • November
    • D. Specht. A General Regression Neural Network. IEEE Trans. on Neural Networks. Vol. 2, No. 6, pp. 568-576, November, 1991.
    • (1991) IEEE Trans. on Neural Networks , vol.2 , Issue.6 , pp. 568-576
    • Specht, D.1
  • 13
    • 0003997653 scopus 로고
    • Gradient-based learning algorithms for recurrent connectionist networks
    • College of Computer Science, Northeastern University, Boston, MA
    • R.J. Williams and D. Zipser. Gradient-Based Learning Algorithms for Recurrent Connectionist Networks. Tech. Rep. NU-CSS90-9, College of Computer Science, Northeastern University, Boston, MA, 1990.
    • (1990) Tech. Rep. , vol.NU-CSS90-9
    • Williams, R.J.1    Zipser, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.