Title :
An evolutionary approach to identification problems with incomplete output data
Author :
Imae, J. ; Morita, Yasuhiko ; Zhai, Guisheng ; Kobayashi, Tomoaki
Author_Institution :
Dept. of Mech. Eng., Osaka Prefecture Univ., Sakai
Abstract :
In this paper, we consider nonlinear system identification problems in the case where output data is incomplete. We propose an identification method based on an evolutionary algorithm, which is a fusion of a genetic algorithm (GA) and genetic programming (GP), and illustrate the effectiveness of the proposed method through a simulation and an experiment with a cart.
Keywords :
genetic algorithms; identification; nonlinear control systems; evolutionary algorithm; genetic algorithm; genetic programming; nonlinear system identification problems; Computational modeling; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; Mathematical model; Mechanical engineering; Nonlinear systems; System identification; Tree data structures; Evolutionary Computation; Genetic Algorithm; Genetic Programming; Incomplete Output Data; Nonlinear System Identification;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4655041
