Hybrid approach for pole assignment using LQR technique and Ant System metaheuristic. (21st July 2009)

• Record Type: Journal Article
• Authors: Liouane, Hend; Douik, Ali; Messaoud, Hassani
• Is Part Of: International journal of artificial intelligence and soft computing. Volume 1:Number 2/3/4(2009)
• Page Start: 213
• Page End: 222
• Publication Date: 2009-07-21
• Subjects: pole assignment -- LQR technique -- optimisation -- constraints -- ant systems -- metaheuristics -- optimal command law -- linear quadratic regulation -- feedback control; Artificial intelligence -- Periodicals; Soft computing -- Periodicals; 006.305
• Languages: English
• ISSNs: 1755-4950

Abstract

We present in this paper a new metaheuristic using Ant System metaheuristic to search an optimal command law in LQR sense that gives for a feedback system a given values by pole assignment. In fact, these hybrid techniques of conventional and non conventional methods present a good compromise between the simplicity of use and the quality of proposed solutions in a reasonable computing time. The results obtained by using this technique show its efficiency in the proposed problem and can be considered as a competitive method for those issued from a complicate mathematic formulation.