1. Stabilizing of Subspaces Based on DPGA and Chaos Genetic Algorithm for Optimizing State Feedback Controller.
- Author
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Hosseinpour, M., Nikdel, P., Badamchizadeh, M. A., and Poor, M. A.
- Subjects
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STATE feedback (Feedback control systems) , *ALGORITHMS , *FEEDBACK control systems , *MATHEMATICAL optimization , *COMBINATORIAL optimization , *STOCHASTIC convergence - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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