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Volumn 28, Issue 6, 1992, Pages 1083-1112

Neural networks for control systems-A survey

Author keywords

Neural networks; nonlinear control systems; nonlinear systems modelling; systems identification

Indexed keywords

COMPUTER ARCHITECTURE; IDENTIFICATION (CONTROL SYSTEMS); LEARNING SYSTEMS; NONLINEAR CONTROL SYSTEMS; PREDICTIVE CONTROL SYSTEMS; SIGNAL FILTERING AND PREDICTION;

EID: 0026954775     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/0005-1098(92)90053-I     Document Type: Article
Times cited : (1512)

References (186)
  • 9
    • 0002610754 scopus 로고
    • Backpropagation in perceptrons with feedback
    • R. Eckmiller, Ch. v.d. Malsburg, Springer-Verlag, Berlin
    • (1988) Neural Computers
    • Almeida1
  • 19
    • 44349101321 scopus 로고
    • Connectionist dynamic control of robotic manipulators
    • University of Southern California
    • (1990) D. Phil. thesis
    • Bassi1
  • 20
    • 6244274067 scopus 로고
    • Decomposition of neural network model of robot dynamics: a feasibility study
    • (1989) Simulation and AI , vol.220 , pp. 8-13
    • Bassi1    Beckey2
  • 26
  • 30
    • 45149144372 scopus 로고
    • Non-linear system prediction of chaotic time series
    • (1989) Physica D , vol.35 , pp. 335-356
    • Casdagli1
  • 43
    • 0023984210 scopus 로고
    • Robustness analysis of discrete-time adaptive control systems using input-output stability theory: A tutorial
    • (1988) IEE Proc. , vol.135 , pp. 133-141
    • Cluett1    Shah2    Fisher3
  • 45
    • 0003642582 scopus 로고
    • Continuous valued networks with two hidden layers are sufficient
    • Department of Computer Science, Tufts University
    • (1988) Technical Report
    • Cybenko1
  • 59
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi1
  • 64
    • 0023513717 scopus 로고
    • Learning, invariance, and generalization in high-order neural networks
    • (1987) Applied Optics , vol.26 , pp. 4972-4978
    • Giles1    Maxwell2
  • 71
    • 0017120827 scopus 로고
    • Adaptive pattern classification and universal recording: I. parallel development and coding of neural feature detectors
    • (1976) Biological Cybernetics , vol.23 , pp. 121-134
    • Grossberg1
  • 76
    • 0025464263 scopus 로고
    • Structure identification of nonlinear dynamic systems—A survey on input/output approaches
    • (1990) Automatica , vol.26 , pp. 651-677
    • Haber1    Unbehauen2
  • 92
    • 0013554506 scopus 로고
    • Forward models: supervised learning with a distal teacher
    • Center for Cognitive Science, Massachusetts Institute of Technology, (submitted to “Cognitive Science”)
    • (1991) Occasional Paper #40 , pp. 49
    • Jordan1    Rumelhart2
  • 101
    • 0001321136 scopus 로고
    • On the representation of continuous functions of several variables by superposition of continuous functions of one variable and addition
    • (1957) Dokl. Akad. Nauk SSSR , vol.114 , pp. 953-956
    • Kolmogorov1
  • 104
    • 0021497703 scopus 로고
    • An input-output view of robustness in adaptive control
    • (1984) Automatica , vol.20 , pp. 569-582
    • Kosut1    Johnson2
  • 109
  • 137
    • 0001184176 scopus 로고
    • Recurrent backpropagation and the dynamical approach to adaptive neural computation
    • (1989) Neural Computation , vol.1 , pp. 161-172
    • Pineda1
  • 141
    • 0010489734 scopus 로고
    • On Liapunov function for neural networks models with multi-unit interaction
    • T. Kohonen, K. Mäkisara, O. Simula, J. Kangas, Elsevier, North-Holland
    • (1991) Artificial Neural Networks , pp. 21-23
    • Poteryaiko1
  • 144
    • 0000289638 scopus 로고
    • Extending Kohonen's self-organizing mapping algorithm to learn ballistic movements
    • R. Eckmiller, Ch.v.d. Malsburg, Springer-Verlag, Berlin
    • (1988) Neural Computers , pp. 393-406
    • Ritter1    Schulten2
  • 148
    • 11144273669 scopus 로고
    • The perceptron: a probabilistic model for information storage and organization in the brain
    • (1958) Psychological Review , vol.65 , pp. 386-408
    • Rosenblatt1
  • 154
  • 159
    • 0003788577 scopus 로고
    • Spatial and temporal processing in central auditory networks
    • Ch. Koch, I. Segev, The MIT Press, Cambridge, MA
    • (1989) Methods in Neural Modeling , pp. 247-289
    • Shamma1
  • 167
    • 0003529238 scopus 로고
    • Beyond regression: new tools for prediction and analysis in the behavior sciences
    • Harvard University, Committee on Applied Mathematics
    • (1974) Ph.D. Thesis
    • Werbos1
  • 169
    • 0025503558 scopus 로고
    • Backpropagation through time: what it does and how to do it?
    • (1990) Proc. of IEEE , vol.78 , pp. 1550-1560
    • Werbos1
  • 172
    • 0025488663 scopus 로고
    • 30 years of adaptive neural networks: Perceptron, medaline, and backpropagation
    • (1990) Proc. of the IEEE , vol.78 , pp. 1415-1441
    • Widrow1    Lehr2
  • 174
    • 0023982347 scopus 로고
    • Neural nets for adaptive filtering and adaptive pattern recognition
    • (1988) IEEE Computer , vol.21 , pp. 25-39
    • Widrow1    Winter2
  • 181
    • 84912892648 scopus 로고    scopus 로고
    • International Workshop. Cellular neural networks and their applications. Proc. CNNA'90.
  • 186
    • 0012061123 scopus 로고
    • A subgrouping strategy that reduces complexity and speeds up learning in recurrent networks
    • (1989) Neural Computation , vol.1 , pp. 552-558
    • Zipser1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.