Translator Disclaimer
4 April 1997 Design of a sliding mode control scheme using neural networks
Author Affiliations +
In this paper, a new control strategy is presented that combines sliding mode control theory with a neural network. Sliding mode control theory requires the complete knowledge of the dynamics of the controlled system. However, in practice, this could be a serious limitation on the practical usefulness of sliding mode control theory. A multilayer neural network with a back-propagation learning algorithm is employed to solve this kind of problem. The neural network serves as a compensator without a priori knowledge about the system. The robustness against parameter uncertainty and nonlinearity, and the effectiveness of the proposed algorithm is verified by simulation results.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dong-Wook Lee, Jeong-Ho Cho, and Young-Tae Kim "Design of a sliding mode control scheme using neural networks", Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997);

Back to Top