Parallel genetic algorithm fitness function team for eigenstructure assignment via LQR designs

Author

Neto, João V da Fonseca ; Bottura, Celso P.

Author_Institution

Univ. Federal do Maranhao, Brazil

Volume

2

fYear

1999

fDate

1999

Abstract

The article discusses the development of a strategy based on a fitness function team exploration for a parallel genetic algorithm and its application to eigenstructure assignment via LQR design of a dynamical system. A multiobjective optimization based strategy and a decision making framework are formulated in terms of schema theorem and multi armed bandit problem. An aircraft state space model is used to illustrate the algorithm performance, whose purpose is to find a state feedback controller that leads to a specified eigenstructure assignment

Keywords

control system analysis; decision theory; eigenstructure assignment; genetic algorithms; parallel algorithms; state feedback; LQR designs; aircraft state space model; algorithm performance; decision making framework; dynamical system; eigenstructure assignment; fitness function team exploration; multi armed bandit problem; multiobjective optimization based strategy; parallel genetic algorithm; schema theorem; state feedback controller; Aerospace control; Aircraft; Algorithm design and analysis; Control system synthesis; Control systems; Decision making; Genetic algorithms; Riccati equations; State feedback; State-space methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on

Conference_Location

Washington, DC

Print_ISBN

0-7803-5536-9

Type

conf

DOI

10.1109/CEC.1999.782537

Filename

782537