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https://scholarbank.nus.edu.sg/handle/10635/69956
Title: | Direct Adaptive Control for a Class of Multi-input and Multi-output Nonlinear Systems Using Neural Networks | Authors: | Ge, S.S. Li, G.Y. Xi, N. |
Issue Date: | 2003 | Citation: | Ge, S.S.,Li, G.Y.,Xi, N. (2003). Direct Adaptive Control for a Class of Multi-input and Multi-output Nonlinear Systems Using Neural Networks. Proceedings of the IEEE Conference on Decision and Control 3 : 2716-2721. ScholarBank@NUS Repository. | Abstract: | In this paper, direct adaptive neural network control is studied for a class of multi-input and multi-output (MIMO) nonlinear systems based on input-output model with unknown inter connections between subsystems. The proposed adaptive algorithm is very simple and easy to implement. By finding a unitary orthogonal matrix to tune the NN weights, the closed-loop system is proved to be semi-globally uniformly ultimately bounded (SGUUB). The control performance of the closed-loop system is guaranteed by suitably choosing the design parameters. | Source Title: | Proceedings of the IEEE Conference on Decision and Control | URI: | http://scholarbank.nus.edu.sg/handle/10635/69956 | ISSN: | 01912216 |
Appears in Collections: | Staff Publications |
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