Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.2008.4587153
Title: Adaptive neural control of SISO non-affine nonlinear time-delay systems with unknown hysteresis input
Authors: Ren, B. 
Shuzhi, S.G. 
Tong, H.L. 
Su, C.-Y.
Issue Date: 2008
Source: Ren, B., Shuzhi, S.G., Tong, H.L., Su, C.-Y. (2008). Adaptive neural control of SISO non-affine nonlinear time-delay systems with unknown hysteresis input. Proceedings of the American Control Conference : 4203-4208. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.2008.4587153
Abstract: In this paper, adaptive neural control is investigated for a class of SISO unknown non-affine nonlinear systems with state time-varying delays and unknown hysteresis input. The non-affine problem is solved by adopting mean value theorem and implicit function theorem. The unknown time-varying delay uncertainties are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. The effect of the unknown hysteresis with the Prandtl-Ishlinskii model is also mitigated through the proposed adaptive control. By utilizing the Lyapunov synthesis, the closed-loop control system is proved to be semi-globally uniformly ultimately bounded (SGUUB). ©2008 AACC.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/69194
ISBN: 9781424420797
ISSN: 07431619
DOI: 10.1109/ACC.2008.4587153
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