Stable adaptive predictor for nonlinear systems using neural networks
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 383-390 |
| Journal / Publication | Computers and Electrical Engineering |
| Volume | 20 |
| Issue number | 5 |
| Publication status | Published - Sep 1994 |
| Externally published | Yes |
Link(s)
Abstract
Adaptive prediction for nonlinear dynamic systems is discussed in this paper. A stable adaptive prediction scheme is proposed for unknown nonlinear dynamic systems based on Radial Basis Function neural networks. Convergence analysis of the scheme is presented using the standard technique for linear adaptive systems. Simulation results are also provided to demonstrate performance of the scheme.
Research Area(s)
- Adaptive prediction, neural networks, nonlinear systems, radial basis function, stability
Citation Format(s)
Stable adaptive predictor for nonlinear systems using neural networks. / FENG, Gang.
In: Computers and Electrical Engineering, Vol. 20, No. 5, 09.1994, p. 383-390.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
