Stabilizing of Subspaces Based on DPGA and Chaos Genetic Algorithm for Optimizing State Feedback Controller. (23rd October 2012)

• Record Type: Journal Article
• Authors: Hosseinpour, M.; Nikdel, P.; Badamchizadeh, M. A.; Poor, M. A.
• Other Names: Lin Jui-Sheng Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2012(2012)
• Publication Date: 2012-10-23
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2012/186481
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : The main purpose of the paper is to optimize state feedback parameters using intelligent method, GA, Hermite-Biehler, and chaos algorithm. GA is implemented for local search but it has some deficiencies such as trapping into a local minimum and slow convergence, so the combination of Hermite-Biehler and chaos algorithm has been added to GA to avoid its deficiencies. Dividing search space is usually done by distributed population genetic algorithm (DPGA). Moreover, using generalized Hermite-Biehler Theorem can find the domain of parameters. In order to speed up the convergence at the first step, Hermite-Biehler method finds some intervals for controller, in the next step the GA will be added, and, finally, chaos disturbance will help the algorithm to reach a global minimum. Therefore, the proposed method can optimize the parameters of the state feedback controller.