DocumentCode
2464940
Title
Nonlinear system identification by GPA-ES
Author
Brandejsky, Tomas
Author_Institution
Fac. of Transp. Sci., CTU in Prague, Prague, Czech Republic
fYear
2012
fDate
28-31 May 2012
Firstpage
58
Lastpage
62
Abstract
The paper discusses application of Genetic Programming Algorithm - Evolutionary Strategy (GPA-ES) algorithm to symbolic regression of chaotic systems. In the paper, Van der Pol oscillator and especially Rabinovich-Fabrikant equations are analyzed and regressed. On the base of these experiments, novel improvements of GPA-ES algorithm are suggested.
Keywords
chaos; genetic algorithms; identification; nonlinear systems; oscillators; regression analysis; GPA-ES algorithm; Rabinovich-Fabrikant equations; Van der Pol oscillator; chaotic systems; genetic programming algorithm-evolutionary strategy algorithm; nonlinear system identification; regression analysis; symbolic regression; Algorithm design and analysis; Differential equations; Equations; Genetic programming; Mathematical model; Oscillators; Standards; deterministic chaos; evolutionary strategy; genetic programming algorithm; symbolic regression; system identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Carpathian Control Conference (ICCC), 2012 13th International
Conference_Location
High Tatras
Print_ISBN
978-1-4577-1867-0
Type
conf
DOI
10.1109/CarpathianCC.2012.6228616
Filename
6228616
Link To Document