Automatic loop shaping in QFT using hybrid optimization and constraint propagation techniques

An efficient method for automatic loop shaping in Quantitative Feedback Theory (QFT) is proposed. The proposed method uses hybrid optimization and constraint propagation techniques. The hybrid optimization part combines interval global optimization and nonlinear local optimization methods. To supple...

Full description

Saved in:
Bibliographic Details
Published in:International journal of robust and nonlinear control 2007-01, Vol.17 (2-3), p.251-264
Main Authors: S. V. Paluri, Nataraj, Kubal, Nandkishor
Format: Article
Language:English
Subjects:
constraint propagation
global optimization
interval analysis
quantitative feedback theory
robust control
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:An efficient method for automatic loop shaping in Quantitative Feedback Theory (QFT) is proposed. The proposed method uses hybrid optimization and constraint propagation techniques. The hybrid optimization part combines interval global optimization and nonlinear local optimization methods. To supplement the optimization tools, a quick solution approach is developed based on ideas of constraint propagation. The quick solution is found to be quite effective in discarding infeasible controller parameter regions in the optimization search. The proposed overall method is demonstrated on an example taken from the QFT literature where it automatically synthesizes a QFT controller of given structure in quick time. Copyright © 2006 John Wiley & Sons, Ltd.
ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.1085