دانلود مقاله ISI انگلیسی شماره 53034
ترجمه فارسی عنوان مقاله

بهبود محدود افق فیلتر کالمن قوی برای سیستم های با زمان متغیر شبکه نامشخص

عنوان انگلیسی
Improved robust finite-horizon Kalman filtering for uncertain networked time-varying systems
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
53034 2015 12 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Information Sciences, Volume 293, 1 February 2015, Pages 263–274

ترجمه کلمات کلیدی
فیلتر قوی؛ متغیر با زمان سیستم؛ تاخیر اندازه گیری؛ دوباره سازمان دهی نوآوری؛ اندازه گیری افت
کلمات کلیدی انگلیسی
Robust filtering; Time-varying system; Delayed measurement; Reorganized innovation; Lost measurement
پیش نمایش مقاله
پیش نمایش مقاله  بهبود محدود افق فیلتر کالمن قوی برای سیستم های با زمان متغیر شبکه نامشخص

چکیده انگلیسی

A novel robust finite-horizon Kalman filter is presented for networked linear time-varying systems with norm-bounded parameter uncertainty whether, or not, the data packets in the network are time-stamped. Measured data loss and latency in the communication link are both described by a Bernoulli distributed random sequence. Then, a two-stage recursive structure is employed for the robust Kalman filter. The filter parameters are determined such that the covariance of the estimation error does not exceed the prescribed upper bound. New augmented state-space model is employed to derive a procedure for computation of the filter parameters. The main novelty of the paper is to use the measurement reorganization technique for the robust Kalman filter design where the observation dropout and delay are both modeled by a stochastic process. Finally, the simulation results confirm the outperformance of the proposed robust Kalman filter compared to the rival methods in the literature.