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Volumn 20, Issue 2, 2005, Pages 213-224

A direct adaptive neural control scheme with integral terms

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; INTELLIGENT CONTROL; MATHEMATICAL MODELS; MATRIX ALGEBRA; PARAMETER ESTIMATION; VECTORS;

EID: 13844297664     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.20063     Document Type: Article
Times cited : (11)

References (12)
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    • Almutairi NB, Chow MY. A modified PI control action with a robust adaptive fuzzy controller applied to DC motor. In: Proc IEEE-INNS-ENNS Int Joint Conf on Neural Networks, Vol 1, Washington DC, USA, July 15-19, 2001. [122.PDF]. pp 503-508.
    • (2001) Proc IEEE-INNS-ENNS Int Joint Conf on Neural Networks , vol.1 , pp. 503-508
    • Almutairi, N.B.1    Chow, M.Y.2
  • 5
    • 0035691460 scopus 로고    scopus 로고
    • Nonlinear PID control with sliding modes for tracking of robot manipulators
    • Mexico City, Mexico, September 5-7
    • Parra-Vega V, Arimoto S. Nonlinear PID control with sliding modes for tracking of robot manipulators. In: Proc 2001 IEEE Int Conf on Control Applications, Mexico City, Mexico, September 5-7, 2001. pp 351-356.
    • (2001) Proc 2001 IEEE Int Conf on Control Applications , pp. 351-356
    • Parra-Vega, V.1    Arimoto, S.2
  • 6
    • 0001505172 scopus 로고    scopus 로고
    • An improved RTNN model for dynamic systems identification and time-series prediction
    • Miedzyzdroje, Poland, August 26-29
    • Baruch I, Stoyanov I, Arsenov T. An improved RTNN model for dynamic systems identification and time-series prediction. In: Proc 4th Int Symp on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, August 26-29, 1997. pp 711-717.
    • (1997) Proc 4th Int Symp on Methods and Models in Automation and Robotics , pp. 711-717
    • Baruch, I.1    Stoyanov, I.2    Arsenov, T.3
  • 7
    • 0004068326 scopus 로고    scopus 로고
    • Topology and learning of a class RNN
    • Baruch I, Stoyanov I, Gortcheva E. Topology and learning of a class RNN. Elektrik 1996;4(Suppl):35-42.
    • (1996) Elektrik , vol.4 , Issue.SUPPL. , pp. 35-42
    • Baruch, I.1    Stoyanov, I.2    Gortcheva, E.3
  • 8
    • 84958970477 scopus 로고    scopus 로고
    • Adaptive neural control of nonlinear systems
    • Dorfner G, Bischof H, Hornik K, editors. Artificial neural networks - ICANN 2001. Berlin, Heidelberg, New York: Springer-Verlag
    • Baruch I, Flores JM, Thomas F, Garrido R. Adaptive neural control of nonlinear systems. In: Dorfner G, Bischof H, Hornik K, editors. Artificial neural networks - ICANN 2001. Lecture Notes in Computer Science 2130. Berlin, Heidelberg, New York: Springer-Verlag; 2001. pp 930-936.
    • (2001) Lecture Notes in Computer Science , vol.2130 , pp. 930-936
    • Baruch, I.1    Flores, J.M.2    Thomas, F.3    Garrido, R.4
  • 9
    • 84962795055 scopus 로고    scopus 로고
    • An advanced neural network topology and learning, applied for identification and control of a D.C. motor
    • Sgurev V, Jotsov V, editors. Intelligent systems 2002, September 2002. New York: IEEE Inc.
    • Baruch I, Flores JM, Nava F, Ramirez IR, Nenkova B. An advanced neural network topology and learning, applied for identification and control of a D.C. motor. In: Sgurev V, Jotsov V, editors. Intelligent systems 2002, Proc 1st Int. IEEE Symposium, September 2002. New York: IEEE Inc.; 2002. pp 289-295.
    • (2002) Proc 1st Int. IEEE Symposium , pp. 289-295
    • Baruch, I.1    Flores, J.M.2    Nava, F.3    Ramirez, I.R.4    Nenkova, B.5
  • 10
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    • State observability in recurrent neural networks
    • Sontag E, Albertini F. State observability in recurrent neural networks. Syst Control Lett 1994;22:235-244.
    • (1994) Syst Control Lett , vol.22 , pp. 235-244
    • Sontag, E.1    Albertini, F.2
  • 11
    • 0031146078 scopus 로고    scopus 로고
    • Complete controllability of continuous time recurrent neural network
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    • Sontag, E.1    Sussmann, H.2
  • 12
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    • Adaptive control of nonlinear multivariable systems using neural networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.