@inproceedings{4cb9417ddbeb47d2ae0f17b2c4e8e875,
title = "Adaptive neural control of SISO time-delay nonlinear systems with unknown hysteresis input",
abstract = "In this paper, adaptive variable structure neural control is investigated for a class of SISO nonlinear systems in a Brunovsky form with state time-varying delays and unknown hysteresis input. 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 mitigated using the proposed adaptive control. By utilizing the integral-type Lyapunov function, the closed-loop control system is proved to be semi-globally uniformly ultimately bounded. Simulation results demonstrate the effectiveness of the approach.",
keywords = "Adaptive control, Lyapunov methods, Nonlinear system control",
author = "Lee, {Tong Heng} and Beibei Ren and Ge, {Shuzhi Sam}",
note = "Funding Information: This work is partially supported by A*STAR SERC (Grant No. 052 101 0097).; 17th World Congress, International Federation of Automatic Control, IFAC ; Conference date: 06-07-2008 Through 11-07-2008",
year = "2008",
doi = "10.3182/20080706-5-KR-1001.0530",
language = "English",
isbn = "9783902661005",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
number = "1 PART 1",
booktitle = "Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC",
edition = "1 PART 1",
}