The Application of Evolutionary Algorithm for the Linear Dynamic System Modelling

Ivan Ryzhikov, Eugene Semenkin

Abstract

The approach to dynamic system modelling in the linear differential equations form is presented. The given approach fits the identification problems with the system output observations sample and the input sample even if the output data is distorted by a noise. The structure and parameters identification problem is reduced to a global optimization problem, so that every solution consists of the model structure and its parameters. This allows searching the analytical model in the ordinary differential equation form with any limited order. The analytical model delivers a special benefit in its further use in the control and behaviour estimation problem.

References

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Paper Citation


in Harvard Style

Ryzhikov I. and Semenkin E. (2012). The Application of Evolutionary Algorithm for the Linear Dynamic System Modelling . In Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-8565-20-4, pages 234-237. DOI: 10.5220/0004060402340237


in Bibtex Style

@conference{simultech12,
author={Ivan Ryzhikov and Eugene Semenkin},
title={The Application of Evolutionary Algorithm for the Linear Dynamic System Modelling},
booktitle={Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2012},
pages={234-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004060402340237},
isbn={978-989-8565-20-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - The Application of Evolutionary Algorithm for the Linear Dynamic System Modelling
SN - 978-989-8565-20-4
AU - Ryzhikov I.
AU - Semenkin E.
PY - 2012
SP - 234
EP - 237
DO - 10.5220/0004060402340237