DocumentCode
3583031
Title
Multi-criteria control system parameters optimization based on genetic algorithm
Author
Zhimin, Yang ; Xu, Wang ; Xianyi, Zhuang
Author_Institution
Dept. of Control Eng., Harbin Inst. of Technol., China
Volume
1
fYear
2000
fDate
6/22/1905 12:00:00 AM
Firstpage
651
Abstract
Presents a multi-parameter optimization method based on the solution of the multi-criteria optimization problem using a multi-objective constrained genetic algorithm. By incorporating the fuzzy rules in the fitness assignment procedure, the GA can simultaneously handle multiple design objectives and constraints with relative importance. Simulation results show that this algorithm can obtain acceptable solutions satisfying all constraints
Keywords
MIMO systems; control system synthesis; fuzzy set theory; genetic algorithms; fitness assignment procedure; fuzzy rules; multi-criteria control system; multi-criteria control system parameters optimization; multi-objective constrained genetic algorithm; Constraint optimization; Control engineering; Control system synthesis; Control systems; Design optimization; Genetic algorithms; Nonlinear control systems; Optimization methods; Robust stability; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.860053
Filename
860053
Link To Document