By Topic

Performance control of Markovian Petri nets via fluid models: A stock-level control example

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
$33 $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

2 Author(s)
C. Renato Vazquez ; Dep. de Informática e Ingeniería de Sistemas, Centro Politécnico Superior, Universidad de Zaragoza, E-50018, Spain ; Manuel Silva

Petri nets is a well-know formalism for studying discrete event systems. Applications include performance evaluation in communication networks, production systems, supply chains, and the implementation of sequence controllers. Timed Continuous Petri Net (TCPN) systems are continuous-state models that can approximate the dynamical behavior of discrete Markovian Petri nets (MPN). Based on this, an estimator-based control structure is introduced here for applying a control law designed for a TCPN into the original discrete system. The result is a control policy for driving a MPN system in such a way that the mean value of its marking will reach a desired value, by applying additional delays to the controllable transitions. A stock level control of a Kanban-based automotive assembly line is synthesized as an application example.

Published in:

2009 IEEE International Conference on Automation Science and Engineering

Date of Conference:

22-25 Aug. 2009