Design and performance analysis of a direct adaptive controller for feedback linearizable systems

Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.1998.703344

Title:	Design and performance analysis of a direct adaptive controller for feedback linearizable systems
Authors:	Zhang, T. Ge, S.S. Hang, C.C.
Issue Date:	1998
Citation:	Zhang, T.,Ge, S.S.,Hang, C.C. (1998). Design and performance analysis of a direct adaptive controller for feedback linearizable systems. Proceedings of the American Control Conference 6 : 3746-3750. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.1998.703344
Abstract:	This paper presents a new direct adaptive controller based on multilayer neural networks (MNNs) for a class of feedback linearizable systems. The designed controller ensures that the system output tracking error converges to a small neighborhood of zero, while the stability of the closed-loop systems is guaranteed. In addition, the transient performance is analytically quantified by using the mean square error bound criterion and L∞ tracking error bound criterion. © 1998 AACC.
Source Title:	Proceedings of the American Control Conference
URI:	http://scholarbank.nus.edu.sg/handle/10635/81397
ISBN:	0780345304
ISSN:	07431619
DOI:	10.1109/ACC.1998.703344
Appears in Collections:	Staff Publications

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