53358

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Wavelet Analysis based Stability Conditions of a Prediction Model

ISBN/ISSN: 

978-989-758-380-3

DOI: 

10.5220/0007923207070714

Наименование конференции: 

  • 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019, Prague, Czech Republic)

Наименование источника: 

  • Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019, Prague, Czech Republic)

Обозначение и номер тома: 

Vol. 1

Город: 

  • Setúbal

Издательство: 

  • SCITEPRESS

Год издания: 

2019

Страницы: 

707-714, https://www.scitepress.org/PublicationsDetail.aspx?ID=romg8nqikb8=&t=1
Аннотация
Prediction models found a wide application in advanced control systems, intelligent systems of information decision support, play a significant role in any activity concerned with signal processing procedures, involving detecting failures of different technological processes. Methods based on the wavelet analysis are characterized by a unique ability of detailed frequency analysis in the time. The paper presents stability conditions of a prediction model, which are developed on the basis of the multi-scale wavelet transform, as well an example of the prediction model applied in the oil refining process.

Библиографическая ссылка: 

Сакрутина Е.А. Wavelet Analysis based Stability Conditions of a Prediction Model / Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019, Prague, Czech Republic). Setúbal: SCITEPRESS, 2019. Vol. 1. С. 707-714, https://www.scitepress.org/PublicationsDetail.aspx?ID=romg8nqikb8=&t=1.