A Levenberg–Marquardt algorithm‐based line parameters identification method for distribution network considering multisource measurement by Dongliang Xu, Xuewen Song, Zaijun Wu, Junjun Xu, Qinran Hu

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A State Estimation of Dynamic Parameters of Electric Drive Articulated Vehicles Based on the Forgetting Factor of Unscented Kalman Filter with Singular Value Decomposition by Tianlong Lei, Mingming Hou, Liaoyuan Li, Haohua Cao

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Estimation of potential field environments from heterogeneous behaviour of sensing agents by Anastasia Kadochnikova, Visakan Kadirkamanathan

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Reduced‐order multisensory fusion estimation with application to object tracking by Vladimir Shin, Vahid Hamdipoor, Yoonsoo Kim

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RTAPM: A Robust Top-View Absolute Positioning Method with Visual–Inertial Assisted Joint Optimization by Pengfei Tong, Xuerong Yang, Xuanzhi Peng, Longfei Wang

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Corrigendum to “Joint optimal PMU and DULR placement in distribution network considering fault reconstruction and state estimation accuracy” [Int. J. Electr. Power Energy Syst. 162 (2024) 110320)] by Zhi Wu, Jiachen Jiang, Shu Zheng, Jingtao Zhao, Wei Gu

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Linear Matrix Inequalities in Fault Detection Filter Design for Linear Ostensible Metzler Systems by Dušan Krokavec, Anna Filasová

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A Martingale-Free Introduction to Conditional Gaussian Nonlinear Systems by Marios Andreou, Nan Chen

Subjects: “…optimal posterior state estimation…”
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JointTracker: Real-time inertial kinematic chain tracking with joint position estimation [version 2; peer review: 1 approved, 2 approved with reservations] by Michael Lorenz, Didier Stricker, Markus Miezal, Gabriele Bleser-Taetz, Bertram Taetz

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Anomaly Monitoring Method for Key Components of Satellite by Jian Peng, Linjun Fan, Weidong Xiao, Jun Tang

“…This paper presented a fault diagnosis method for key components of satellite, called Anomaly Monitoring Method (AMM), which is made up of state estimation based on Multivariate State Estimation Techniques (MSET) and anomaly detection based on Sequential Probability Ratio Test (SPRT). …”
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A practical adaptive nonlinear tracking algorithm with range rate measurement by Haiyan Yang, Hongqiang Liu, Zhongliang Zhou, An Xu

“…The results of simulation experiment demonstrate that the range rate measurement could reduce accuracy of the target state estimation in mismatch tracking scenarios. The results of simulation experiment also verify that the performance of proposed algorithm is better than the current state and the art interacting multiple-model algorithm and can well follow the state estimation output of the measurement equation matching the tracking scenario.…”
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Decentralized Kalman Filtering with Multilevel Quantized Innovation in Wireless Sensor Networks by Zhi Zhang, Jianxun Li

“…Besides, this paper explores the quantization state estimation by adopting the Bayesian method rather than the traditional iterated conditional expectation method. …”
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Adaptive Kalman Filtering: Measurement and Process Noise Covariance Estimation Using Kalman Smoothing by Theresa Kruse, Thomas Griebel, Knut Graichen

“…The Kalman filter is one of the best-known and most frequently used methods for dynamic state estimation. In addition to a measurement and state transition model, the Kalman filter requires knowledge about the covariance of the measurement and process noise. …”
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Optimal Position and Velocity Estimation for Multi-USV Positioning Systems with Range Measurements by Wei Chen, Ruisheng Sun, Weisheng Yan

“…We establish the unbiased conditions of the input and state estimation for the MLBL system. Simulation results illustrate the effectiveness of the problem formulation and demonstrate the performance of the proposed algorithm.…”
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Load Estimation of Complex Power Networks from Transformer Measurements and Forecasted Loads by Haina Rong, Francisco de León

“…The method consists of three steps: network reduction, load forecasting, and state estimation. The network is first mathematically reduced to the terminals of loads and measurement points. …”
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Robust strong tracking unscented Kalman filter for non‐linear systems with unknown inputs by Xinghua Liu, Jianwei Guan, Rui Jiang, Xiang Gao, Badong Chen, Shuzhi Sam Ge

“…Abstract This paper proposes a state estimation approach ‘robust strong tracking unscented Kalman filter with unknown inputs’ that can be applied to non‐linear systems with unknown inputs. …”
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Joint Identification and Sensing for Discrete Memoryless Channels by Wafa Labidi, Yaning Zhao, Christian Deppe, Holger Boche

“…State estimation functions as the sensing mechanism of the model. …”
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Mitigating Barren Plateaus of Variational Quantum Eigensolvers by Xia Liu, Geng Liu, Hao-Kai Zhang, Jiaxin Huang, Xin Wang

“…Finally, we investigate a plethora of examples in ground state estimation where we obtain significant improvements in the magnitude of the cost gradient and the convergence speed.…”
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A Novel Particle Filter Based on One-Step Smoothing for Nonlinear Systems with Random One-Step Delay and Missing Measurements by Zhenrong Yang, Xing Zhang, Wenqian Xiang, Xiaohui Lin

“…It shows excellent state estimation performance when dealing with nonlinear and non-Gaussian dynamic systems. …”
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A Cyber-ITS Framework for Massive Traffic Data Analysis Using Cyber Infrastructure by Yingjie Xia, Jia Hu, Michael D. Fontaine

“…A case study of the Cyber-ITS framework is presented later based on a traffic state estimation application that uses the fusion of massive Sydney Coordinated Adaptive Traffic System (SCATS) data and GPS data. …”
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