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Control of perturbed systems using neural networks

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1 Author(s)
Chun-Liang Lin ; Dept. of Autom. Control Eng., Feng Chia Univ., Taichung, Taiwan

Stability conditions for a perturbed plant control by a conventional robust controller and a neurocontroller are presented. The neural net-based direct inverse controller is proposed to aid the robust controller to further suppress the output error resulting from the unmodeled residuals. A procedure for determining the permissible network's output under which the overall closed-loop system will be robustly stable is provided

Published in:

Neural Networks, IEEE Transactions on  (Volume:9 ,  Issue: 5 )