Title :
An Effective Evolutionary Approach to Mixed H2/ H∞ Filtering with Regional Pole Assignment
Author :
Qingliang Ma ; Changhua Hu
Author_Institution :
Xi´an Res. Inst. of Hi-tech
Abstract :
A novel approach to mixed H2/Hinfin filtering with regional pole assignment is proposed based on multiobjective evolutionary algorithm (MOEA). To design optimal H2 /Hinfin filters with less conservatism, a kind of hybrid MOEA (HMOEA) is especially developed. Firstly, evolutionary search is performed by HMOEA to obtain a set of approximate Pareto optimal solutions. Then, a local search is carried out with each previously obtained solution to design better H2/Hinfin filters. An illustrative example is given to demonstrate the effectiveness and advantages of the proposed method
Keywords :
Hinfin control; Pareto optimisation; evolutionary computation; filtering theory; pole assignment; search problems; approximate Pareto optimal solution; evolutionary search; hybrid multiobjective evolutionary algorithm; mixed H2/Hinfin filtering; multiobjective filtering problem; regional pole assignment; Education; Error correction; Evolutionary computation; Filtering; Filters; Linear matrix inequalities; Riccati equations; Stability; State estimation; Upper bound; Multiobjective evolutionary algorithms; Multiobjective filtering problem; Regional pole assignment;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712619
