Please use this identifier to cite or link to this item:
|Title:||Adaptive neural control of SISO non-affine nonlinear time-delay systems with unknown hysteresis input|
|Authors:||Ren, B. |
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 12, 2018
WEB OF SCIENCETM
checked on Jun 5, 2018
checked on Jun 29, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.