By Topic

Progressive reasoning for real-time intelligent computing

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)
I. M. MacLeod ; Dept. of Electr. Eng., Univ. of Witwatersrand, Johannesburg, South Africa ; V. Lun

It is argued that the success of real-time intelligent computing hinges on reconciling the unpredictability and vigor of the inference process with the real-time requirement that control system responses must be both appropriate and timely. The use of progressive reasoning, which provides a means of relaxing the demands made on the inference process without violating real-time constraints, is considered. It is a technique that successively refines a solution while making available intermediate, albeit suboptimal, solutions. Factors that influence the successful use of progressive reasoning are examined. A small case study involving autonomous vehicle collision detection and avoidance is presented to illustrate the use of progressive reasoning in a typical automation environment.<>

Published in:

IEEE Control Systems  (Volume:12 ,  Issue: 2 )