Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409464 | Neurocomputing | 2006 | 4 Pages |
Abstract
Modeling using the modified cascade correlation radial basis function (CCRBF) networks for an experimental platform is presented. We develop a practical algorithm coupled with model validity tests for identifying nonlinear autoregressive moving average model with exogenous inputs (NARMAX). The effectiveness of this modeling procedure is demonstrated by a four degrees-of-freedom (DOF) platform, and the experimental results show that the modified CCRBF networks for the platform are more appropriate than the conventional ones. The estimated model can be utilized for nonlinear flight simulation and control studies.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Changjie Yu, Jihong Zhu, Jinchun Hu, Zengqi Sun,