By Topic

Design for minimum probabilistic error of continuous linear control systems subject to constraints

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

2 Author(s)
Zaborszky, J. ; Washington University, St. Louis, Mo.; McDonnell Aircraft Corporation ; Diesel, J. W.

A NEWLY DEVELOPED approach to the synthesis of control systems has been based on ¿probabilistic¿ or ¿end-sigma¿ error.1 These names denote the concept of an average penalized error for such times when the output of the control system is actually used. Detail design processes for continuous2 or sampled-data3 linear systems have been developed to yield linear systems operating with minimum probabilistic square errors. This paper shows that constraints, specifically an acceleration constraint on the output, can be included in the design process for minimum probabilistic square error. Only continuous systems are treated in this paper, but extension to sampled systems is straightforward.

Published in:

American Institute of Electrical Engineers, Part II: Applications and Industry, Transactions of the  (Volume:79 ,  Issue: 2 )