Please use this identifier to cite or link to this item:
|Title:||Adaptive output feedback control for general nonlinear systems using multilayer neural networks|
|Source:||Zhang, T.,Ge, S.S.,Hang, C.C. (1998). Adaptive output feedback control for general nonlinear systems using multilayer neural networks. Proceedings of the American Control Conference 1 : 520-524. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.1998.694722|
|Abstract:||In this paper, the adaptive output feedback control problem is investigated using multilayer neural networks (MNNs) for a class of general nonlinear systems. The adaptive output feedback controller is developed based on a high-gain observer which is used to estimate the time derivatives of the system output. The Lyapunov stability of the resulting closed-loop system is guaranteed and the tracking error converges to a small neighborhood of the origin. The effectiveness of the proposed controller is illustrated through an example of composition control for a continuously stirred tank reactor (CSTR) system. © 1998 AACC.|
|Source Title:||Proceedings of the American Control Conference|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 5, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.