@inproceedings{bdc26220b1974046b8310eb74189dc80,
title = "Adaptive neural control of SISO non-affine nonlinear time-delay systems with unknown hysteresis input",
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).",
author = "Beibei Ren and Shuzhi, {Sam Ge} and Tong, {Heng Lee} and Su, {Chun Yi}",
year = "2008",
doi = "10.1109/ACC.2008.4587153",
language = "English",
isbn = "9781424420797",
series = "Proceedings of the American Control Conference",
pages = "4203--4208",
booktitle = "2008 American Control Conference, ACC",
note = "2008 American Control Conference, ACC ; Conference date: 11-06-2008 Through 13-06-2008",
}