Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCIS.2013.6751580
Title: Adaptive optimal control for linear discrete time-varying systems
Authors: Ge, S.S. 
Wang, C.
Li, Y.
Lee, T.H. 
Ang Jr., M.H. 
Keywords: adaptive dynamic programming
adaptive optimal control
LDTV systems
Issue Date: 2013
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
URI: http://scholarbank.nus.edu.sg/handle/10635/83440
DOI: 10.1109/ICCIS.2013.6751580
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