DocumentCode
1010286
Title
´Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming
Author
Rodríguez-Vázquez, K. ; Fonseca, C.M. ; Fleming, P.J.
Author_Institution
Appl. Math. & Syst., Nat. Autonomous Univ. of Mexico, Mexico City, Mexico
Volume
34
Issue
4
fYear
2004
fDate
7/1/2004 12:00:00 AM
Firstpage
531
Lastpage
545
Abstract
A method for identifying the structure of nonlinear polynomial dynamic models is presented. This approach uses an evolutionary algorithm, genetic programming, in a multiobjective fashion to generate global models which describe the dynamic behavior of the nonlinear system under investigation. The validation stage of system identification is simultaneously evaluated using the multiobjective tool, in order to direct the identification process to a set of global models of the system.
Keywords
genetic algorithms; identification; mathematical programming; nonlinear systems; polynomials; evolutionary algorithm; multiobjective genetic programming; nonlinear dynamic systems; nonlinear polynomial dynamic; system identification; Dynamic programming; Engines; Evolutionary computation; Genetic programming; Mathematical model; Nonlinear dynamical systems; Nonlinear systems; Polynomials; System identification; Turbines;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher
ieee
ISSN
1083-4427
Type
jour
DOI
10.1109/TSMCA.2004.826299
Filename
1306531
Link To Document