Multiobjective controller design: Optimising controller structure with genetic algorithms

Molina-Cristóbal, A. , Griffin, I. A., Fleming, P. J. and Owens, D. H. (2005) Multiobjective controller design: Optimising controller structure with genetic algorithms. IFAC Proceedings Volumes, 38(1), pp. 51-56. (doi: 10.3182/20050703-6-CZ-1902.00869)

Abstract

This paper studies the open problem of reduced- and fixed-order H∞ synthesis. Often, this non-convex constraint is tackled with iterative convex optimisation procedure over LMI constraints. In this paper, an evolutionary approach is proposed such that the trial and error approach involved in LMI techniques might be overcome. The order of the controller is optimised as a multiobjective problem over a set of controller structures, H∞, and time-domain specifications. Numerical results are presented with its counterpart the LMI procedure design, that show the advantage of investigating the Pareto optimal set resulting from the design procedure proposed.

• Item Type: Articles
• 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: IFAC Proceedings Volumes
• Publisher: Elsevier
• ISSN: 1474-6670