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Automatic loop shaping in QFT using hybrid optimization and constraint propagation techniques
Author(s) -
S. V. Paluri Nataraj,
Kubal Nandkishor
Publication year - 2006
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.1085
Subject(s) - constraint (computer aided design) , controller (irrigation) , mathematical optimization , optimization problem , computer science , quantitative feedback theory , loop (graph theory) , interval (graph theory) , nonlinear system , control theory (sociology) , constrained optimization , continuous optimization , multi swarm optimization , mathematics , control (management) , robust control , artificial intelligence , physics , geometry , quantum mechanics , combinatorics , agronomy , biology
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.