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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Popov, Andrey Werner, Herbert |
| Copyright Year | 2006 |
| Description | Author affiliation: Hamburg University of Technology, Institute of Control Systems, 21073, Germany (Popov, Andrey; Werner, Herbert) |
| 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. |
| Starting Page | 760 |
| Ending Page | 765 |
| File Size | 155560 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780397975 |
| DOI | 10.1109/CACSD-CCA-ISIC.2006.4776741 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-04 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Robust control Shape control Filters Stability Industrial control Optimal control Evolutionary computation Control systems Computational efficiency |
| Content Type | Text |
| Resource Type | Article |
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