By Topic

An intelligent reactive monitoring and scheduling system

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

5 Author(s)
Paul, C.J. ; Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA ; Holloway, L.E. ; Yan, D. ; Strosnider, J.K.
more authors

A system developed for monitoring large-scale distributed processes and modifying the control plan in real time, in response to deviations from the planned production schedule, is reported. The monitoring method is based on behavioral models that represent and manipulate both discrete and continuous process dynamics. Reactive scheduling and control is accomplished by combining real-time problem solving and numeric optimization techniques to generate the lowest-cost recovery plan within the time available. The feasibility of recovery strategies is checked online using the behavioral models in a prognostication mode. A prototype system has been implemented using Concurrent Real Time OPS5 (CROPS5) and C++ and runs on the Mach operating system. The system is being extended as a commercial product for online monitoring and reactive scheduling of continuous-caster steel mills.<>

Published in:

Control Systems, IEEE  (Volume:12 ,  Issue: 3 )