Please use this identifier to cite or link to this item: https://doi.org/10.1002/acs.981
Title: Adaptive backstepping control for a class of time delay systems with nonlinear perturbations
Authors: Hua, C.-C. 
Wang, Q.-G. 
Guan, X.-P.
Keywords: Backstepping method
Lyapunov-Krasovskii functional
Sliding mode control method
Time delay systems
Issue Date: Apr-2008
Citation: Hua, C.-C., Wang, Q.-G., Guan, X.-P. (2008-04). Adaptive backstepping control for a class of time delay systems with nonlinear perturbations. International Journal of Adaptive Control and Signal Processing 22 (3) : 289-305. ScholarBank@NUS Repository. https://doi.org/10.1002/acs.981
Abstract: The sliding mode control method has been extensively employed to stabilize time delay systems with nonlinear perturbations. Although the resulting closed-loop systems have good transient and steady-state performances, the designed controllers are dependent on the time delays. But one knows that it is difficult to obtain the precise delay time in practical systems, especially when it is time varying. In this paper, we revisit the problem and use the backstepping method to construct the state feedback controller. First, a coordinate transformation is used to obtain a cascade time delay system. Then, a linear virtual control law is designed for the first subsystem. The memoryless controller is further constructed based on adaptive method for the second subsystem with the uncertainties bounded by linear function. By choosing new Lyapunov-Krasovskii functional, we show that the system state converges to zero asymptotically. Via the proposed approach, we also discuss the case that the uncertainties are bounded by nonlinear functions. Finally, simulations are done to verify the effectiveness of the main results obtained. Copyright © 2007 John Wiley & Sons, Ltd.
Source Title: International Journal of Adaptive Control and Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/54886
ISSN: 08906327
DOI: 10.1002/acs.981
Appears in Collections:Staff Publications

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