Direct adaptive control of non-affine nonlinear systems using multilayer neural networks

Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.1998.694721

Title:	Direct adaptive control of non-affine nonlinear systems using multilayer neural networks
Authors:	Zhang, T. Ge, S.S. Hang, C.C.
Issue Date:	1998
Citation:	Zhang, T.,Ge, S.S.,Hang, C.C. (1998). Direct adaptive control of non-affine nonlinear systems using multilayer neural networks. Proceedings of the American Control Conference 1 : 515-519. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.1998.694721
Abstract:	A direct adaptive control method is presented for a class of non-affine nonlinear systems using multilayer neural networks (MNNs). The proposed controller ensures that the output of the system tracks a given bounded reference signal and the output tracking error converges to an ε-neighborhood of zero, while the stability of the closed-loop system is guaranteed by Lyapunov's stability theory. © 1998 AACC.
Source Title:	Proceedings of the American Control Conference
URI:	http://scholarbank.nus.edu.sg/handle/10635/72578
ISBN:	0780345304
ISSN:	07431619
DOI:	10.1109/ACC.1998.694721
Appears in Collections:	Staff Publications

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