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|Title:||Approximation-based adaptive tracking control of pure-feedback nonlinear systems with multiple unknown time-varying delays||Authors:||Wang, M.
|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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