Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International Conference on Informatics in Control, Automation and Robotics, ICINCO 2016; Lisbon; Lisbon
Год издания: 2016
Ключевые слова: dynamic system, evolutionary strategies, Initial value estimation, linear differential equation, Order estimation, parameters identification
Аннотация: A dynamic system identification problem is considered. It is an inverse modelling problem, where one needs to find the model in an analytical form and a dynamic system is represented with the observation data. In this study the identification problem was reduced to an optimization problem, and in such a way every solution of the exПоказать полностьюtremum problem determines a linear differential equation and coordinates of the initial value. The proposed approaches do not require any assumptions of the system order and the initial value coordinates and estimates the model in the form of a linear differential equation. These variables are estimated automatically and simultaneously with differential equation coefficients. Problem-oriented evolution-based optimization techniques were designed and applied. Techniques are based on the evolutionary strategies algorithm and have been improved to achieve efficient solving of the reduced problem for every proposed determination scheme. Experimental results confirm the reliability of the given approach and the usefulness of the reduced problem solving tool.
Журнал: ICINCO 2016 - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics
Выпуск журнала: 1
Номера страниц: 168-176