Article ID Journal Published Year Pages File Type
409464 Neurocomputing 2006 4 Pages PDF
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
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