An approximate dynamic programming based approach to dual adaptive control

Cited 29 time in webofscience Cited 0 time in scopus
  • Hit : 281
  • Download : 1
In this paper, an approximate dynamic programming (ADP) based strategy is applied to the dual adaptive control problem. The ADP strategy provides a computationally amenable way to build a significantly improved policy by solving dynamic programming on only those points of the hyper-state space sampled during closed-loop Monte Carlo simulations performed under known suboptimal control policies. The potentials of the ADP approach for generating a significantly improved policy are illustrated on an ARX process with unknown/varying parameters. (C) 2009 Elsevier Ltd. All rights reserved.
Publisher
ELSEVIER SCI LTD
Issue Date
2009-05
Language
English
Article Type
Article
Keywords

IDENTIFICATION; SYSTEMS

Citation

JOURNAL OF PROCESS CONTROL, v.19, no.5, pp.859 - 864

ISSN
0959-1524
DOI
10.1016/j.jprocont.2008.11.009
URI
http://hdl.handle.net/10203/97012
Appears in Collection
CBE-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 29 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0