By Topic

Decentralized asynchronous optimization of stochastic discrete event systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Vazquez-Abad, F.J. ; Dept. of Comput. Sci. & Oper. Res., Montreal Univ., Que., Canada ; Cassandras, C.G. ; Julka, V.

We propose and analyze decentralized asynchronous control structures for the parametric optimization of stochastic discrete event systems (DES) consisting of K distributed components. We use a stochastic approximation type of optimization scheme driven by gradient estimates of a global performance measure with respect to local control parameters. The estimates are obtained in distributed and asynchronous fashion at the K components based on local state information only. We identify two verifiable conditions for the estimators and show that if they, and some additional technical conditions, are satisfied, the decentralized asynchronous scheme that we propose converges to a global optimum in a weak sense

Published in:

Decision and Control, 1995., Proceedings of the 34th IEEE Conference on  (Volume:4 )

Date of Conference:

13-15 Dec 1995