Results 31 to 40 of about 266,337 (258)
Ellipsoidal method for UAVs target tracking and recognition*
Systems Science & Control Engineering, 2023 Based on our previous contributions about UAV target tracking and recognition, this paper continues to do the synthesis analysis for the ellipsoidal method for the above practical problem.
Xiao Zhifeng, Jianwang Hong
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A Multi-Objective Robust State Estimator for Systems Measured by Phasor Measurement Units
IEEE Access, 2018 Conventional state estimators, such as the weighted least squares estimator, have been widely employed for state estimation in power systems. However, these methods have difficulty addressing the leverage effect and rejecting erroneous measurements ...
Manyun Huang +5 more
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IET Radar, Sonar & Navigation, 2022 A new variational Bayesian‐based adaptive distributed fusion unscented Kalman filter (ADFUKF‐VB) algorithm is proposed for the problem of state estimation in a distributed fusion target tracking system with unknown sensor measurement losses.
Zhentao Hu +3 more
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New Algorithm and Phase Diagram of Noncommutative Phi**4 on the Fuzzy Sphere [PDF]
, 2014 We propose a new algorithm for simulating noncommutative phi-four theory on the fuzzy sphere based on, i) coupling the scalar field to a U(1) gauge field, in such a way that in the commutative limit N\longrightarrow \infty, the two modes decouple and we ...
Ydri, Badis
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State Estimation for a Class of Non-Uniform Sampling Systems with Missing Measurements
Sensors, 2016 This paper is concerned with the state estimation problem for a class of non-uniform sampling systems with missing measurements where the state is updated uniformly and the measurements are sampled randomly.
Honglei Lin, Shuli Sun
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Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval [PDF]
, 2014 The Bag-of-Words (BoW) representation is well applied to recent state-of-the-art image retrieval works. Typically, multiple vocabularies are generated to correct quantization artifacts and improve recall.
Tian, Qi +3 more
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Reduced‐order multisensory fusion estimation with application to object tracking
IET Signal Processing, 2022 This paper investigates the track‐to‐track state estimation for a class of linear time‐varying multisensory systems. We propose a novel low‐complexity reduced‐order filter (ROF) under the Kalman filtering framework.
Vladimir Shin +2 more
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SensorsSome fusion criteria in multisensor and multitarget motion tracking cannot be directly applied to nonlinear motion models, as the fusion accuracy applied in nonlinear systems is relatively low.
Zhixuan Xu +3 more
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Methodology for development of drought Severity-Duration-Frequency (SDF) Curves [PDF]
, 2014 Drought monitoring and early warning are essential elements impacting drought sensitive sectors such as primary production, industrial and consumptive water users.
Abdul Jamil, Muhammad Mahadi +4 more
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Simulation and comparison of two fusion methods for macroscopic fundamental diagram estimation [PDF]
Archives of Transport, 2019 Accurate estimation of macroscopic fundamental diagram (MFD) is the precondition of MFD’s application. At present, there are two traditional estimation methods of road network’s MFD, such as the loop detector data (LDD) estimation method and the floating
Xiaohui Lin, Jianmin Xu, Chengtao Cao
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