Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCIS.2013.6751580
DC FieldValue
dc.titleAdaptive optimal control for linear discrete time-varying systems
dc.contributor.authorGe, S.S.
dc.contributor.authorWang, C.
dc.contributor.authorLi, Y.
dc.contributor.authorLee, T.H.
dc.contributor.authorAng Jr., M.H.
dc.date.accessioned2014-10-07T04:41:15Z
dc.date.available2014-10-07T04:41:15Z
dc.date.issued2013
dc.identifier.citationGe, 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. <a href="https://doi.org/10.1109/ICCIS.2013.6751580" target="_blank">https://doi.org/10.1109/ICCIS.2013.6751580</a>
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/83440
dc.description.abstractIn 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICCIS.2013.6751580
dc.sourceScopus
dc.subjectadaptive dynamic programming
dc.subjectadaptive optimal control
dc.subjectLDTV systems
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1109/ICCIS.2013.6751580
dc.description.sourcetitleProceedings of the 2013 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2013
dc.description.page66-71
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Dec 6, 2019

Page view(s)

82
checked on Nov 30, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.