DocumentCode :
2642749
Title :
Efficient design of low-order H optimal controllers using evolutionary algorithms and a bisection approach
Author :
Popov, Andrey ; Werner, Herbert
Author_Institution :
Hamburg University of Technology, Institute of Control Systems, 21073, Germany
fYear :
2006
fDate :
4-6 Oct. 2006
Firstpage :
760
Lastpage :
765
Abstract :
This paper considers a hybrid evolutionaryalgebraic approach to the non-convex problem of designing low-order H optimal controllers. It is shown that using the closed-loop H norm as fitness measure in a population-based, evolutionary search does not require the computation of the H norm for each controller of the population. Instead, the fact that evolutionary algorithms assign fitness measures to individuals based on a ranking is exploited and a bisection approach is proposed that allows to trade accuracy that is not needed against computational efficiency without loosing information. Three design examples are used to illustrate the improvement in computational speed achieved with the proposed method.
Keywords :
Algorithm design and analysis; Computational efficiency; Control systems; Evolutionary computation; Filters; Industrial control; Optimal control; Robust control; Shape control; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich, Germany
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
Type :
conf
DOI :
10.1109/CACSD-CCA-ISIC.2006.4776741
Filename :
4776741
Link To Document :
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