Title :
Nonlinear system identification by GPA-ES
Author :
Brandejsky, Tomas
Author_Institution :
Fac. of Transp. Sci., CTU in Prague, Prague, Czech Republic
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;
Conference_Titel :
Carpathian Control Conference (ICCC), 2012 13th International
Conference_Location :
High Tatras
Print_ISBN :
978-1-4577-1867-0
DOI :
10.1109/CarpathianCC.2012.6228616
