Title :
Synthesis and characterization of Pareto-optimal solutions for the mixed ℋ2/ℋ∞ control problem
Author :
Takahashi, Ricardo H C ; Palhares, Reinaldo M. ; Dutra, Daniel A. ; Gonçalves, Leila P S
Author_Institution :
Dept.of Electr. Eng., Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil
Abstract :
The mixed ℋ2/ℋ∞ control problem does not have an exact solution, despite much research. This paper develops a methodology for multiobjective problem solution characterization, employing group properties of the Pareto-set. A multiobjective genetic algorithm is built on the basis of these properties. The solutions that are found for the ℋ2/ℋ∞ control problem are both consistent and less conservative, when compared to other algorithms
Keywords :
H∞ control; control system synthesis; genetic algorithms; GA; Pareto-optimal solution characterization; Pareto-optimal solution synthesis; Pareto-set group properties; mixed ℋ2/ℋ∞ control problem; multiobjective genetic algorithm; multiobjective problem solution characterization; Aggregates; Algorithm design and analysis; Control design; Control systems; Design methodology; Design optimization; Genetic algorithms; State estimation; State feedback; Vectors;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980515