Identification and Control of Dynamic Systems Using Multilayer Neural Networks

  • Eduard Aved’yan


The identification problem can be stated as follows: Let Up(n) and y p (n) be the input and output signals of a time-invariant dynamic plant D p . The plant is assumed to have known parameterisation but with unknown values of the parameters. The objective is to construct a suitable identification model D M which produces an output y M (n) close to y p (n) in some sense, when subjected to the same input u P (n) as the plant.


Inverse Model Linear Difference Equation Model Reference Adaptive Control Multilayer Neural Network Newton Type Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London Limited 1995

Authors and Affiliations

  • Eduard Aved’yan
    • 1
  1. 1.Institute of Control SciencesLaboratory 07Profsoyuznaja 65MoscowRussia

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