کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5472872 1520068 2017 33 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust extended Kalman filtering for nonlinear stochastic systems with random sensor delays, packet dropouts and correlated noises
ترجمه فارسی عنوان
فیلتر کردن کلمن با قدرتمند برای سیستم های تصادفی غیرخطی با تاخیر های تصادفی تصادفی، رد بسته و صداهای همبسته
کلمات کلیدی
حسگر تصادفی تاخیر می کند بسته شدن بسته صداهای مرتبط سر و صدا چندگانه، برآورد نگرش، فیلتر کلمن قوی توسعه یافته،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی هوافضا
چکیده انگلیسی
In this paper, the robust filtering problem is investigated for nonlinear stochastic systems with random sensor delays, packet dropouts and correlated noises. The stochastic multiplicative noises which enter into both state equation and measurement equation are modeled as random variables with bounded variance, and a Bernoulli distributed random sequence is introduced to describe the random delays and packet dropouts. Then, the system is converted to the stochastic parameterized one through introducing a group of new variables. Moreover, the two-step prediction framework is employed to achieve the goal of noise decoupling. The objective of the addressed estimation problem is to design a filter, such that in the presence of random delays, packet dropouts, multiplicative noises and correlated noises, the upper bounds for the prediction error and estimation error covariance can be guaranteed. Subsequently, the upper bounds are minimized by designing the optimal prediction gain and filter gain. Finally, the attitude estimation example is used to demonstrate the effectiveness of the proposed robust extended Kalman filter.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Aerospace Science and Technology - Volume 66, July 2017, Pages 249-261
نویسندگان
, , ,