Name
Title | ||
|---|---|---|
Neural networks for identification of nonlinear systems under random piecewise polynomial disturbances |
Abstract | ||
|---|---|---|
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 |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/72.750559 | IEEE Transactions on Neural Networks |
Keywords | Field | DocType |
absorption polynomials, disturbance rejection, nonlinear system identification | Nonlinear system,Polynomial,Control theory,Computer science,Stochastic process,Adaptive control,Artificial neural network,System identification,Probability density function,Piecewise | Journal |
Volume | Issue | ISSN |
10 | 2 | 1045-9227 |
Citations | PageRank | References |
3 | 0.45 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y. Z. Tsypkin | 1 | 3 | 0.45 |
| J. D. Mason | 2 | 15 | 2.00 |
| E. D. Avedyan | 3 | 3 | 0.45 |
| Kevin Warwick | 4 | 129 | 21.37 |
| I. K. Levin | 5 | 3 | 0.45 |