Name
Title | ||
|---|---|---|
Gradient-Based Iterative Identification for Wiener Nonlinear Dynamic Systems with Moving Average Noises |
Abstract | ||
|---|---|---|
This paper focuses on the parameter identification problem for Wiener nonlinear dynamic systems with moving average noises. In order to improve the convergence rate, the gradient-based iterative algorithm is presented by replacing the unmeasurable variables with their corresponding iterative estimates, and to compute iteratively the noise estimates based on the obtained parameter estimates. The simulation results show that the proposed algorithm can effectively estimate the parameters of Wiener systems with moving average noises. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3390/a8030712 | ALGORITHMS |
Keywords | Field | DocType |
nonlinear dynamic system,stochastic gradient,iterative algorithm,output error moving average,parameter estimation | Mathematical optimization,Iterative method,Rate of convergence,Estimation theory,Moving average,Nonlinear dynamic systems,Mathematics,Parameter identification problem | Journal |
Volume | Issue | ISSN |
8 | 3 | 1999-4893 |
Citations | PageRank | References |
2 | 0.38 | 22 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lincheng Zhou | 1 | 27 | 3.92 |
| Xiangli Li | 2 | 2 | 1.40 |
| Huigang Xu | 3 | 2 | 0.72 |
| Peiyi Zhu | 4 | 6 | 3.21 |