Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.2007.4282499
Title: Adaptive variable structure control of SISO nonlinear systems with time-varying delays and unknown dead-zone input
Authors: Zhang, T.
Ge, S.S. 
Issue Date: 2007
Source: Zhang, T.,Ge, S.S. (2007). Adaptive variable structure control of SISO nonlinear systems with time-varying delays and unknown dead-zone input. Proceedings of the American Control Conference : 1221-1226. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.2007.4282499
Abstract: In this paper, adaptive variable structure neural control is investigated for a class of uncertain SISO nonlinear systems in a Brunovsky form with state time-varying delays and unknown dead-zone input. The unknown time-varying delay uncertainties are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. The approach removes the assumption of linearity function outside the deadband without the need to construct a dead-zone inverse. By utilizing the integral-type Lyapunov function and introducing a continuous function, the closed-loop control system is proved to be semi-globally uniformly ultimately bounded. ©2007 IEEE.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/69233
ISBN: 1424409888
ISSN: 07431619
DOI: 10.1109/ACC.2007.4282499
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

7
checked on Dec 13, 2017

Page view(s)

14
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.