Finite horizon stochastic optimal control of uncertain linear networked control system

Hao Xu; S. Jagannathan

doi:10.1109/ADPRL.2013.6614985

Finite horizon stochastic optimal control of uncertain linear networked control system

Hao Xu
, S. Jagannathan

Electrical and Computer Engineering

Missouri University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Pages	24-30
Number of pages	7
DOIs	https://doi.org/10.1109/ADPRL.2013.6614985
State	Published - 2013
Event	2013 4th IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2013 - Singapore, Singapore Duration: Apr 16 2013 → Apr 19 2013

Publication series

Name	IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL
ISSN (Print)	2325-1824
ISSN (Electronic)	2325-1867

Conference

Conference	2013 4th IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2013
Country/Territory	Singapore
City	Singapore
Period	4/16/13 → 4/19/13

ASJC Scopus Subject Areas

Computational Theory and Mathematics
Computer Science Applications
Software

Keywords

Adaptive Dynamics Programming and Reinforcement learning
Adaptive Estimator
Finite horizon
Networked Control System
Stochastic Optimal Control

Access to Document

10.1109/ADPRL.2013.6614985

Cite this

Xu, H., & Jagannathan, S. (2013). Finite horizon stochastic optimal control of uncertain linear networked control system. In Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 (pp. 24-30). Article 6614985 (IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL). https://doi.org/10.1109/ADPRL.2013.6614985

Finite horizon stochastic optimal control of uncertain linear networked control system. / Xu, Hao; Jagannathan, S.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. 2013. p. 24-30 6614985 (IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Xu, H & Jagannathan, S 2013, Finite horizon stochastic optimal control of uncertain linear networked control system. in Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013., 6614985, IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL, pp. 24-30, 2013 4th IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2013, Singapore, Singapore, 4/16/13. https://doi.org/10.1109/ADPRL.2013.6614985

Xu H, Jagannathan S. Finite horizon stochastic optimal control of uncertain linear networked control system. In Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. 2013. p. 24-30. 6614985. (IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL). doi: 10.1109/ADPRL.2013.6614985

Xu, Hao ; Jagannathan, S. / Finite horizon stochastic optimal control of uncertain linear networked control system. Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. 2013. pp. 24-30 (IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, ADPRL).

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Finite horizon stochastic optimal control of uncertain linear networked control system

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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