کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4969164 1365259 2018 12 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Event-based distributed recursive filtering for state-saturated systems with redundant channels
کلمات کلیدی
Distributed filters; State-saturated systems; Event-based strategy; Redundant channels; Wireless sensor networks;
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Event-based distributed recursive filtering for state-saturated systems with redundant channels
چکیده انگلیسی

•The event-based distributed recursive filtering problem is investigated.•Discrete-time state-saturated systems over sensor networks are considered.•Randomly occurring nonlinearities and measurement losses are investigated.•Redundant communication channels are taken into account.•A recursive Riccati-like difference equation approach is developed.

In this paper, the event-based distributed recursive filtering problem is investigated for a class of discrete-time state-saturated systems subject to random occurring nonlinearities and measurement losses over the wireless sensor network. In the addressed measurement model, the sensors are assumed to have redundant communication channels that are helpful in increasing the probability of successfully delivering the measurements. At each intelligent node, the local estimation is obtained based on its own measurement and those transmitted from its neighbors according to the sensor topology. In order to reduce the bandwidth consumption and estimator update frequencies, an event-based signal transmission strategy is employed as opposed to the traditional time-based one. An upper bound for the estimation error covariance is constructed at each time step, which is shown to be the solution of a Riccati-like difference equation. Subsequently, the estimator parameter is designed to minimize such an upper bound. Moreover, the performance of the proposed estimator is analyzed by discussing how the packet losses of the measurements affect the obtained upper bound of the error covariance. Finally, a numerical simulation is exploited to show the effectiveness of the proposed distributed filter design algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Fusion - Volume 39, January 2018, Pages 96-107
نویسندگان
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