Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.2009.5160295
Title: Adaptive dynamic surface control for a class of strict-feedback nonlinear systems with unknown backlash-like hysteresis
Authors: Ren, B. 
San, P.P. 
Ge, S.S. 
Lee, T.H. 
Keywords: Dynamic surface control (DSC)
Hysteresis
Neural networks(NNs)
Issue Date: 2009
Citation: Ren, B., San, P.P., Ge, S.S., Lee, T.H. (2009). Adaptive dynamic surface control for a class of strict-feedback nonlinear systems with unknown backlash-like hysteresis. Proceedings of the American Control Conference : 4482-4487. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.2009.5160295
Abstract: In this paper, we investigate the control design for a class of strict-feedback nonlinear systems preceded by unknown backlash-like hysteresis. Using the characteristics of backlash-like hysteresis, adaptive dynamic surface control (DSC) is developed without constructing a hysteresis inverse. The explosion of complexity in traditional backstepping design is avoided by utilizing DSC. Function uncertainties are compensated for using neural networks due to their universal approximation capabilities. Through Lyapunov synthesis, the closedloop control system is proved to be semi-globally uniformly ultimately bounded (SGUUB), and the tracking error converges to a small neighborhood of zero. Simulation results are provided to illustrate the performance of the proposed approach. © 2009 AACC.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/69172
ISBN: 9781424445240
ISSN: 07431619
DOI: 10.1109/ACC.2009.5160295
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