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|Title:||Direct Adaptive Control for a Class of Multi-input and Multi-output Nonlinear Systems Using Neural Networks|
|Authors:||Ge, S.S. |
|Source:||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|
|Appears in Collections:||Staff Publications|
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