Molina-Cristóbal, A. , Griffin, I. A., Fleming, P. J. and Owens, D. H. (2006) Linear matrix inequalities and evolutionary optimization in multiobjective control. International Journal of Systems Science, 37(8), pp. 513-522. (doi: 10.1080/00207720600783942)
Full text not currently available from Enlighten.
Abstract
The multiobjective problems of H 2 optimal control (LQG case) and mixed H 2/H ∞ are addressed using two different approaches: Evolutionary Algorithms and Linear Matrix Inequalities (LMIs). This study illustrates with numerical examples how both approaches can be used to find the trade-off between different signal sensitivities to noise and to find the trade-off of the mixed H 2/H ∞ problem. For the mixed H 2/H ∞ example, this paper shows how a Multiobjective Genetic Algorithm (MOGA) could find an improved Pareto-optimal front compared to the LMI approach.
| Item Type: | Articles |
|---|---|
| Additional Information: | Special issue on the 6th Portuguese Conference on Automatic Control (Controlo 2004) |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Molina-Cristobal, Dr Arturo |
| Authors: | Molina-Cristóbal, A., Griffin, I. A., Fleming, P. J., and Owens, D. H. |
| College/School: | College of Science and Engineering > School of Engineering |
| Journal Name: | International Journal of Systems Science |
| Publisher: | Taylor and Francis |
| ISSN: | 0020-7721 |
| ISSN (Online): | 1464-5319 |
| Published Online: | 02 September 2006 |
University Staff: Request a correction | Enlighten Editors: Update this record
Deposit and Record Details
Deposit and Record Details