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
fDate :
7/1/2004 12:00:00 AM
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;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/TSMCA.2004.826299
