By Topic

A Parameter Optimization Approach to Multiple-Objective Controller Design

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)
de Ruiter, A.H.J. ; Toronto Univ., Toronto ; Liu, H.H.T.

A parameter optimization method is presented for controller design. Rather than dealing with the multiple specifications directly, which are difficult to optimize over, a series of cost functions are defined such that an improvement in a cost function results in an improvement in the related specifications. The cost functions are defined in such a way that they and all the gradients have analytical expressions. A unified framework is presented so that controllers of any order and structure may be considered. Because the analytical expressions for the cost functions are only valid for stabilizing controllers, the use of linear quadratic cost functions as barrier functions to enforce stability is introduced. By use of multiplier methods it is shown how to obtain initial stabilizing controllers that can stabilize p specified plants simultaneously as well as how to impose Hinfin constraints.

Published in:

Control Systems Technology, IEEE Transactions on  (Volume:16 ,  Issue: 2 )