Model Reduction of Uncertain Interval Systems Using Genetic Algorithms

Chen-Chien Hsu; Chih-Hua Yu

doi:10.11499/sicep.2004.0_12_2

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0_12_2

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

Model Reduction of Uncertain Interval Systems Using Genetic Algorithms

*Chen-Chien Hsu, Chih-Hua Yu

Author information

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 12

Details

Abstract

A GA-based approach is presented to derive a reduced model for a high-order interval system. To search for the optimal reduced model, we construct an aggregated error of the Bode envelopes between the original and reduced systems, subsequently minimized by a genetic algorithm. Impulse response energy of the interval systems is obtained to evaluate the performance of the reduced models.

Corresponding author

Register with J-STAGE for free!