Bilinear Minimax Optimal Control Problems for a von Kárman System with Long Memory by Jin-soo Hwang

“…In the present article, we consider a von Kárman equation with long memory. The goal is to study a quadratic cost minimax optimal control problems for the control system governed by the equation. …”
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A New Data Assimilation Scheme: The Space-Expanded Ensemble Localization Kalman Filter by Hongze Leng, Junqiang Song, Fengshun Lu, Xiaoqun Cao

“…This study considers a new hybrid three-dimensional variational (3D-Var) and ensemble Kalman filter (EnKF) data assimilation (DA) method in a non-perfect-model framework, named space-expanded ensemble localization Kalman filter (SELKF). …”
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Prediction of Industrial Water Demand of Handan City Based on Water Saving Correction Value by XIA Feng, SUO Meiqin, WANG Yijie, WANG Lili

“…In order to accurately predict the industrial water demand of Handan City,based on the residual error correction GM(1,1) model and the equivalent dimensions addition,this paper proposes an equal-dimension-addition residual error correction GM(1,1) model to effectively predict the industrial water demand of each region in Handan city in 2025,as well as based on this,calculates the industrial water-saving correction value in 2025 according to the indicators of water consumption per ten thousand yuan of value-added by industry in Handan city issued by the Department of Water Resources of Hebei Province,and apply it to correct the predictive value.The results show that compared with the GM(1,1) model and residual error correction GM(1,1) model,the relative error of equal-dimension-addition residual error correction GM(1,1) model decreases by 33.9% and 12.5% respectively,and the relative error further reduces by 4.0% after the water saving correction value is used to correct the prediction results of the model,because of which it can be concluded that equal-dimension-addition residual error correction GM(1,1) model is more applicable for the prediction of industrial water demand in Handan City.Through the analysis of the calculation result from the equal-dimension-addition residual error correction GM(1,1) model and water saving correction value,the industrial water demand of Handan city in 2025 will be 34,799.90×10⁴ m³,which would be helpful for the decision-making of the industrial sustainable development in Handan and also the prediction of water demand in other regions.…”
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Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm by Bin Li, Jingpeng Wang, Hailong Bao, Huiying Zhang

“…In this paper, a novel frequency calculation algorithm based on extended Kalman filter was proposed to track dynamic frequency of the microgrid. …”
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Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses by Corey K. Potvin, Louis J. Wicker

“…A typical storm-scale ensemble Kalman filter (EnKF) analysis/forecast system is shown to introduce imbalances into the ensemble posteriors that generate acoustic waves in subsequent integrations. …”
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The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys by Gou Yanni, Wang Qi

“…Based on special features of array buoy and the research field of location and tracking of underwater target, the research combines the highly adaptive nonlinear filtering algorithm unscented Kalman filter with the nonlinear programming of multistation array buoy positioning system. …”
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Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

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Estimation of the Dynamic Moduli of Viscoelastic Asphalt Mixtures Using the Extended Kalman Filter Algorithm by Yu-Seok Gong, Dowan Kim, Sungho Mun

“…Here, we develop a model predicting the dynamic moduli of hot-mix asphalt/concrete using the extended Kalman filter (EKF) algorithm and draw frequency-domain master curves. …”
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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

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Conservation agrotechnology to improve soil quality and potato productivity Kuta Rayat Village, Naman Teran District, Karo Regency, North Sumatra by Rosmadelina Purba, Meriaty Meriaty, Ringkop Situmeang

“…This research aims to find agrotechnology that can increase productivity by focusing on developing the quality of soil as farming land in Kuta Rayat Village, Naman Teran District, Karo District, North Sumatra Province. …”
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Kalman Filtering for Discrete Stochastic Systems with Multiplicative Noises and Random Two-Step Sensor Delays by Dongyan Chen, Yonglong Yu, Long Xu, Xiaohui Liu

“…This paper is concerned with the optimal Kalman filtering problem for a class of discrete stochastic systems with multiplicative noises and random two-step sensor delays. …”
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Evaluation on the Quasi‐Realistic Ionospheric Prediction Using an Ensemble Kalman Filter Data Assimilation Algorithm by Jianhui He, Xinan Yue, Huijun Le, Zhipeng Ren, Weixing Wan

“…Abstract In this work, we evaluated the quasi‐realistic ionosphere forecasting capability by an ensemble Kalman filter (EnKF) ionosphere and thermosphere data assimilation algorithm. …”
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A New Adaptive Square-Root Unscented Kalman Filter for Nonlinear Systems with Additive Noise by Yong Zhou, Chao Zhang, Yufeng Zhang, Juzhong Zhang

“…The Kalman filter (KF), extended KF, and unscented KF all lack a self-adaptive capacity to deal with system noise. …”
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Research on Optimal Control Method of Tennis Racket String Diameter Based on Kalman Filter Algorithm by Xin Chen

“…In order to explore the optimal control method of tennis racket string diameter, this paper applies the Kalman filter algorithm to the collection and processing of tennis sports parameters. …”
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Optimization of Covariance Matrices of Kalman Filter with Unknown Input Using Modified Directional Bat Algorithm by Lijun Liu, Chang Yin, Yonghui Su, Yinghai Lin, Ying Lei

Subjects: “…Kalman filter with unknown inputs…”
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Fault tolerant GPS-AOA-SINS integrated navigation algorithm based on federated Kalman filter by Rui JIANG, Jun LI, Youyun XU, Xiaoming WANG, Dapeng LI

“…At present, global positioning system (GPS) was widely used in outdoor positioning.However, the continuous development of cities complicated the positioning environment, resulting in a sharp decline in positioning accuracy.Therefore, the integrated positioning scheme of GPS/5G base station angle of arrival positioning/strap-down inertial navigation system (GPS-AOA-SINS) was adopted, and a fault-tolerant integrated navigation algorithm based on federated Kalman filter was proposed.Based on the GPS-AOA-SINS integrated positioning scheme, the algorithm added fault detection between the federated Kalman sub filter and the main filter, and adaptively adjusted the filter gain matrix of the fault sub filter.Experiments show that the proposed algorithm can effectively detect system faults and deal with them in real time, so as to improve the reliability of the system.…”
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An Improved Prediction Model of IGBT Junction Temperature Based on Backpropagation Neural Network and Kalman Filter by Yu Dou

“…This method can be divided into three phases, BP neural network estimation, interpolation, and Kalman filter prediction. First, the validities of the BP neural network and Kalman filter are verified, respectively. …”
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Blood Harmane Concentrations in 497 Individuals Relative to Coffee, Cigarettes, and Food Consumption on the Morning of Testing by Elan D. Louis, Pam Factor-Litvak, Marina Gerbin, Wendy Jiang, Wei Zheng

“…Harmane, a potent neurotoxin linked with several neurological disorders, is present in many foods, coffee, and cigarettes. …”
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Anxiety and Depression among Officer Cadets during the Army Basic Training in the Sri Lankan Army by Savithri Vishmika De Silva, Malathie Dissanayake

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Vehicle state estimation based on extended Kalman filter and radial basis function neural networks by Yunfei Zha, Xinye Liu, Fangwu Ma, CC Liu

“…To improve the reliability of vehicle state parameter estimation, a vehicle state fusion estimation method based on dichotomy is proposed. An extended Kalman filter algorithm is designed based on the vehicle 3 degrees of freedom dynamic model. …”
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