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Volumn 68, Issue 5, 1997, Pages 1085-1102

An adaptive control system design using a memory based learning system

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; LEARNING SYSTEMS; NEURAL NETWORKS; STORAGE ALLOCATION (COMPUTER); TABLE LOOKUP;

EID: 0031271601     PISSN: 00207179     EISSN: 13665820     Source Type: Journal    
DOI: 10.1080/002071797223217     Document Type: Article
Times cited : (10)

References (9)
  • 1
    • 0016556021 scopus 로고
    • A new approach to manipulator control: The cerebellar model articulation controller (CMAC)
    • 1975 b, Data storage in the cerebellar model articulation controller (CMAC)., 97, 228-233
    • Albus, J. S., 1975 a, A new approach to manipulator control: the cerebellar model articulation controller (CMAC). Transactions of the AS ME Journal of Dynamical Systems, Measurement and Control, 97, 220-227; 1975 b, Data storage in the cerebellar model articulation controller (CMAC)., 97, 228-233.
    • (1975) Transactions of the AS ME Journal of Dynamical Systems, Measurement and Control , vol.97 , pp. 220-227
    • Albus, J.S.1
  • 3
    • 0003624236 scopus 로고
    • Dr. Sci. thesis, Institute for Informatics, University of Oslo, Norway; 1994, ASMOD-an algorithm for adaptive spline modelling of observational data. Advances in Intelligent Control (London: Taylor & Francis), pp. 141-161
    • Kavli, T., 1992, Learning principles in dynamic control. Dr. Sci. thesis, Institute for Informatics, University of Oslo, Norway; 1994, ASMOD-an algorithm for adaptive spline modelling of observational data. Advances in Intelligent Control (London: Taylor & Francis), pp. 141-161.
    • (1992) Learning Principles in Dynamic Control
    • Kavli, T.1
  • 4
    • 0023084681 scopus 로고
    • A hierarchical neural-network model for control and learning of voluntary movement
    • Kawato, M., Furukawa, K., and Suzuki, R., 1987, A hierarchical neural-network model for control and learning of voluntary movement. Biological Cybernetics, 57, 169-185.
    • (1987) Biological Cybernetics , vol.57 , pp. 169-185
    • Kawato, M.1    Furukawa, K.2    Suzuki, R.3
  • 6
    • 0025414689 scopus 로고
    • A comparison between CMAC neural network control and two traditional adaptive control systems
    • Kraft, L. G., and Campagna, D. P., 1990, A comparison between CMAC neural network control and two traditional adaptive control systems. IEEE Control Systems Magazine, 10, 36-43.
    • (1990) IEEE Control Systems Magazine , vol.10 , pp. 36-43
    • Kraft, L.G.1    Campagna, D.P.2
  • 7
    • 0029310085 scopus 로고
    • Selection of learning parameters for CMAC-based adaptive critic learning
    • Lin, C., and Kim, H., 1995, Selection of learning parameters for CMAC-based adaptive critic learning. IEEE Transactions on Neural Networks, 6, 642-647.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , pp. 642-647
    • Lin, C.1    Kim, H.2
  • 8
    • 0023364624 scopus 로고
    • Application of a general learning algorithm to the control of robotic manipulators
    • 1990, An associative neural network alternative to backpropagation. Proceedings of the IEEE, 78, 1561-1567
    • Miller, W. T., Glanz, F. H., and Kraft, L. G., 1987, Application of a general learning algorithm to the control of robotic manipulators. International Journal of Robotics Research, 6(2), 84-98; 1990, An associative neural network alternative to backpropagation. Proceedings of the IEEE, 78, 1561-1567.
    • (1987) International Journal of Robotics Research , vol.6 , Issue.2 , pp. 84-98
    • Miller, W.T.1    Glanz, F.H.2    Kraft, L.G.3
  • 9
    • 0026925086 scopus 로고
    • A comparison of five algorithms for the training of CMAC memories for learning control systems
    • Parks, P. C., and Militzer, J., 1992, A comparison of five algorithms for the training of CMAC memories for learning control systems. Automatica, 28, 1027-1035.
    • (1992) Automatica , vol.28 , pp. 1027-1035
    • Parks, P.C.1    Militzer, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.