In:
International Journal of Adaptive Control and Signal Processing, Wiley, Vol. 26, No. 7 ( 2012-07), p. 630-644
Abstract:
An inverse optimal neural controller for discrete‐time unknown nonlinear systems, in the presence of external disturbances and parameter uncertainties, is presented. It is based on a discrete‐time recurrent high‐order neural network trained with an extended Kalman filter‐based algorithm. The applicability of the proposed approach is first tested via simulations for an electrically driven nonholonomic mobile robot, and finally, the proposed methodology is implemented on real time. Copyright © 2012 John Wiley & Sons, Ltd.
Type of Medium:
Online Resource
ISSN:
0890-6327
,
1099-1115
Language:
English
Publisher:
Wiley
Publication Date:
2012
detail.hit.zdb_id:
2000340-7
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