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Volumn 9, Issue 1, 1996, Pages 1-16

Advances in neurofuzzy algorithms for real-time modelling and control

Author keywords

Adaptive control; Construction algorithms; Convergence and stability; Network conditioning; Neurofuzzy modelling and control

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; FUZZY CONTROL; LEARNING SYSTEMS; NEURAL NETWORKS; REAL TIME SYSTEMS; STABILITY;

EID: 0030086614     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/0952-1976(95)00059-3     Document Type: Article
Times cited : (51)

References (26)
  • 4
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    • An, P.E.1    Brown, M.2    Harris, C.J.3
  • 5
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    • Convergence properties of associative memory storage for learning control systems
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  • 6
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    • On the convergence rate performance of the normalised least mean squares adaption
    • Submitted to
    • An P. E., Brown M. and Harris C. J. On the convergence rate performance of the normalised least mean squares adaption. Submitted to IEEE Neural Networks J.
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    • An, P.E.1    Brown, M.2    Harris, C.J.3
  • 8
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    • ASMOD - An algorithm for adaptive spline modelling of observational data
    • (Edited by Harris C. J.), Taylor & Francis, London
    • Kavli T. ASMOD - an algorithm for adaptive spline modelling of observational data. In Advances in Intelligent Control (Edited by Harris C. J.), pp. 141-161. Taylor & Francis, London (1994).
    • (1994) Advances in Intelligent Control , pp. 141-161
    • Kavli, T.1
  • 9
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    • Neurofuzzy high dimensional approximation
    • (Edited by Taylor J. G.), Waller, Henley-on-Thames
    • Bossley K. M., Mills D. J., Brown M. and Harris C. J. Neurofuzzy high dimensional approximation. In Neural Networks (Edited by Taylor J. G.), pp. 297-332. Waller, Henley-on-Thames (1995).
    • (1995) Neural Networks , pp. 297-332
    • Bossley, K.M.1    Mills, D.J.2    Brown, M.3    Harris, C.J.4
  • 10
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    • Jordan M. I. and Jacobs R. A. Hierarchical mixtures of experts and the EM algorithm. Neural Computation 6, 181-214 (1994).
    • (1994) Neural Computation , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 13
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    • Neurofuzzy model construction for the modelling of nonlinear processes
    • Rome
    • Bossley K. M., Brown M. and Harris C. J. Neurofuzzy model construction for the modelling of nonlinear processes. European Control Conference, Rome 3, 2438-2443 (1995).
    • (1995) European Control Conference , vol.3 , pp. 2438-2443
    • Bossley, K.M.1    Brown, M.2    Harris, C.J.3
  • 15
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    • Neuron like adaptive elements that can solve difficult learning control problems
    • Barto A. G., Sutton R. S. and Anderson C. W. Neuron like adaptive elements that can solve difficult learning control problems. IEEE Trans. Syst. Man Cybernet. M. SMC-13, 834-846.
    • IEEE Trans. Syst. Man Cybernet. , vol.M. SMC-13 , pp. 834-846
    • Barto, A.G.1    Sutton, R.S.2    Anderson, C.W.3
  • 16
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    • Application of a general learning algorithm to the control of robotic manipulators
    • Miller W. T., Glanz F. H. and Kraft L. G. Application of a general learning algorithm to the control of robotic manipulators. Int. J. Robot. Res. 6, 84-98 (1987).
    • (1987) Int. J. Robot. Res. , vol.6 , pp. 84-98
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    • Learning to predict by methods of temporal differences
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  • 22
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    • One-to-one mapping and its application to neural networks based control system design
    • In press
    • Wang H., Wang A. P., Brown M. and Harris C. J. One-to-one mapping and its application to neural networks based control system design. Int. J. Syst. Sci. In press.
    • Int. J. Syst. Sci.
    • Wang, H.1    Wang, A.P.2    Brown, M.3    Harris, C.J.4
  • 23
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    • Modelling and control of nonlinear, operating point dependent systems via associative memory networks
    • In press
    • Wang H., Brown M. and Harris C. J. Modelling and control of nonlinear, operating point dependent systems via associative memory networks. Int. J. Dynam. Control In press.
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    • Wang, H.1    Brown, M.2    Harris, C.J.3
  • 24
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    • Adaptive neurofuzzy control for a class of state dependent nonlinear processes
    • In press
    • Feng M. and Harris C. J. Adaptive neurofuzzy control for a class of state dependent nonlinear processes. Int. J. Systems Science. In press.
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    • Feng, M.1    Harris, C.J.2
  • 26
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.