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Neural networks for identification of nonlinear systems under random piecewise polynomial disturbances

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5 Author(s)
Tsypkin, Y. ; Inst. of Control Sci., Acad. of Sci., Moscow, Russia ; Mason, J.D. ; Avedyan, E.D. ; Warwick, K.
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The problem of identification of a nonlinear dynamic system is considered. A two-layer neural network is used for the solution of the problem. Systems disturbed with unmeasurable noise are considered, although it is known that the disturbance is a random piecewise polynomial process. Absorption polynomials and nonquadratic loss functions are used to reduce the effect of this disturbance on the estimates of the optimal memory of the neural-network model

Published in:
Neural Networks, IEEE Transactions on  (Volume:10 ,  Issue: 2 )

Date of Publication: Mar 1999

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