Robust extrapolation for systems with unknown input and interval uncertainty in system and observations

Эндаумент фонд ТГУ!
Впиши своё имя в историю университета
- Сделать пожертвование -

Add to "Quick Collection"

Description	Size	Format
Robust extrapolation for systems with unknown input and interval uncertainty in system and observations	872 KB	Adobe Acrobat PDF	Read	Download
DOI Доступ к ресурсу на сайте издателя			10.17223/19988605/62/9

Title: Robust extrapolation for systems with unknown input and interval uncertainty in system and observations
Title: Робастная экстраполяция для систем с неизвестным входом и интервальной неопределенностью в объекте и наблюдениях
Creator: Smagin, Valery I.
|
Kim, Konstantin S.
Date: 2023
DOI: 10.17223/19988605/62/9
Description: The problem of robust extrapolation for discrete linear system with unknown input and uncertain interval parameters in system and model of observations is considered. The probabilistic approach is used, which is based on replacing uncertain parameters of interval type by independent random variables with uniform distribution in recursive Kalman schemes. The LSM algorithms and nonparametric smoothing procedures are applied for estimating unknown input. The proposed algorithms can be used in control systems with incomplete information. Simulation results are presented and discussed.