Direct adaptive NN control of nonlinear systems in strict-feedback form using dynamic surface control

Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISIC.2007.4450904

Title:	Direct adaptive NN control of nonlinear systems in strict-feedback form using dynamic surface control
Authors:	Ge, S.S. Zhang, T.
Issue Date:	2008
Citation:	Ge, S.S.,Zhang, T. (2008). Direct adaptive NN control of nonlinear systems in strict-feedback form using dynamic surface control. 22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control : 315-320. ScholarBank@NUS Repository. https://doi.org/10.1109/ISIC.2007.4450904
Abstract:	In this paper, direct adaptive neural control is investigated for a class of strict-feedback nonlinear systems with both unknown system functions and virtual control gain functions. The explosion of complexity in traditional backstepping design is avoided by utilizing dynamic surface control (DSC) and introducing integral-type Lyapunov function. It is proved that the proposed design method is able to guarantee semi-global uniform ultimate boundedness of all signals in the closed-loop system, with arbitrary small tracking error by appropriately choosing design constants. © 2007 IEEE.
Source Title:	22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control
URI:	http://scholarbank.nus.edu.sg/handle/10635/69957
ISBN:	142440441X
DOI:	10.1109/ISIC.2007.4450904
Appears in Collections:	Staff Publications

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