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Neural network architectures for parameter estimation of dynamical systems

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2 Author(s)
Raol, J.R. ; Div. Flight Mech. & Control, Nat. Aerosp. Lab., Bangalore, India ; Madhuranath, H.

Various recurrent neural network architectures for solving the problems of parameter estimation in dynamical systems are presented. The architectures based on precomputation of weight/bias information (Hopfield neural network), direct gradient computation with and without normalisation and output error method are developed. A typical computer simulation result is given

Published in:

Control Theory and Applications, IEE Proceedings -  (Volume:143 ,  Issue: 4 )