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|Title:||Adaptive optimal control for linear discrete time-varying systems|
|Authors:||Ge, S.S. |
Ang Jr., M.H.
|Keywords:||adaptive dynamic programming|
adaptive optimal control
|Citation:||Ge, S.S.,Wang, C.,Li, Y.,Lee, T.H.,Ang Jr., M.H. (2013). Adaptive optimal control for linear discrete time-varying systems. Proceedings of the 2013 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2013 : 66-71. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCIS.2013.6751580|
|Abstract:||In this paper, adaptive optimal control is proposed for linear discrete time-varying (LDTV) systems subject to unknown system dynamics. The idea of the method is a direct application of the Q-learning adaptive dynamic programming for time-varying systems. In order to derive the optimal control policy, an actor-critic structure is constructed and the time-varying least square method is adopted for parameter adaptation. The derived control policy robustly stabilizes the time-varying system and guarantees an optimal control performance. As no particular system information is required throughout the process, the proposed method provides a feasible solution to a large variety of applications. The validity of the proposed method is verified through simulation studies. © 2013 IEEE.|
|Source Title:||Proceedings of the 2013 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2013|
|Appears in Collections:||Staff Publications|
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