Neural networks for identification of nonlinear systems under random piecewise polynomial disturbances.
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.
Tsypkin
Y Z
YZ
Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia.
Mason
J D
JD
Avedyan
E D
ED
Warwick
K
K
Levin
I K
IK