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'Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming

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3 Author(s)
K. Rodriguez-Vazquez ; Appl. Math. & Syst., Nat. Autonomous Univ. of Mexico, Mexico City, Mexico ; C. M. Fonseca ; P. J. Fleming

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.

Published in:

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans  (Volume:34 ,  Issue: 4 )