Adaptive neural control of SISO non-affine nonlinear time-delay systems with unknown hysteresis input

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
Citation:	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
Appears in Collections:	Staff Publications

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