Please use this identifier to cite or link to this item: https://doi.org/10.1109/CDC.2009.5400312
Title: Approximation-based adaptive tracking control of pure-feedback nonlinear systems with multiple unknown time-varying delays
Authors: Wang, M.
Ge, S.S. 
Issue Date: 2009
Citation: Wang, M., Ge, S.S. (2009). Approximation-based adaptive tracking control of pure-feedback nonlinear systems with multiple unknown time-varying delays. Proceedings of the IEEE Conference on Decision and Control : 841-846. ScholarBank@NUS Repository. https://doi.org/10.1109/CDC.2009.5400312
Abstract: This paper presents adaptive neural tracking control for a class of non-affine pure-feedback systems with multiple unknown state time-varying delays. The separation technique is introduced to decompose unknown functions of all time-varying delayed states into a series of continuous functions of each delayed state. A novel Lyapunov-Krasovskii functional is employed to compensate for the unknown function of current delayed state, which is effectively free from any restrictive assumption on unknown time-delay functions. The proposed control scheme guarantees the boundedness of all the signals in the closed-loop system and the tracking performance. Simulation studies are provided to demonstrate the effectiveness of the proposed scheme. ©2009 IEEE.
Source Title: Proceedings of the IEEE Conference on Decision and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/69442
ISBN: 9781424438716
ISSN: 01912216
DOI: 10.1109/CDC.2009.5400312
Appears in Collections:Staff Publications

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