Topology identification and parameters estimation of LV distribution networks using open GIS data by Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

“…., distributed energy resources (DERs) integration, network hosting capacity analysis, state estimation, and electric vehicle charging management. …”
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Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition by Faheed A.F. Alrslani, Manal Abdullah Alohali, Mohammed Aljebreen, Hamed Alqahtani, Asma Alshuhail, Menwa Alshammeri, Wafa Sulaiman Almukadi

“…When they are built to bypass state estimation bad data recognition methods executed in the conventional grid system control room, False Data Injection Attacks (FDIA) pose a significant security threat to the operation of power systems. …”
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Maximum Mixture Correntropy Criterion-Based Variational Bayesian Adaptive Kalman Filter for INS/UWB/GNSS-RTK Integrated Positioning by Sen Wang, Peipei Dai, Tianhe Xu, Wenfeng Nie, Yangzi Cong, Jianping Xing, Fan Gao

“…Experimental results demonstrate that the approach provides superior accuracy and stability in integrated system state estimation, significantly mitigating position drift error caused by uncertainty-induced disturbances. …”
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Real-time controller design and onboard attitude estimation of a quadrotor with collision safety through ultrasonic sensors by Rumshaa Yunus

“…In this study, an Arduino based quadrotor is designed to test 2nd order Complementary filters for state estimation along with a controller with collision safety for indoor flight. …”
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Multiple-Model Adaptive Estimation with A New Weighting Algorithm by Weicun Zhang, Sufang Wang, Yuzhen Zhang

“…The state estimation of a complex dynamic stochastic system is described by a discrete-time state-space model with large parameter (including the covariance matrices of system noises and measurement noises) uncertainties. …”
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The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion by Guangyue Xue, Yubin Xu, Jing Guo, Wei Zhao

“…Based on the characteristics of multirate and delay measurement, the state is reestimated at the time when the delayed measurement occurs by using weighted fractional Kalman filter, and then the state estimation is updated at the current time when the delayed measurement arrives following the similar pattern of Kalman filter. …”
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Distributed Filter with Consensus Strategies for Sensor Networks by Xie Li, Huang Caimou, Hu Haoji

“…In this paper, the distributed filter with consensus strategies known as Kalman consensus filter and information consensus filter is investigated for state estimation of distributed sensor networks. Firstly, an in-depth comparison analysis between Kalman consensus filter and information consensus filter is given, and the result shows that the information consensus filter performs better than the Kalman consensus filter. …”
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Robust High-Gain Observers Based Liquid Levels and Leakage Flow Rate Estimation by Feten Smida, Salim Hadj Saïd, Faouzi M’sahli

“…The observation scheme that uses a combination of high-gain observers and sliding mode observers allows improving robustness in the state estimation quality and a perfect reconstruction of the disturbance waveforms.…”
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Variational Inference of Kalman Filter and Its Application in Wireless Sensor Networks by Zijian Dong, Tiecheng Song

“…To verify the effectiveness of the proposed algorithm, VIKF is applied to the state estimation of discrete linear state space and the tracking problems in wireless sensor networks. …”
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Regularized Multioutput Gaussian Convolution Process for Chemical Contents Data Imputation in Sintering Raw Materials by Wei Liu, Cailian Chen, Junpeng Li, Xinping Guan

“…However, the lack of these data can result in the biasedness of state estimation in sintering process. It, thus, greatly reduces the accuracy of modeling. …”
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Experimental Closed-Loop Control of Breast Cancer in Mice by Levente Kovács, Bence Czakó, Máté Siket, Tamás Ferenci, András Füredi, Balázs Gombos, Gergely Szakács, Dániel András Drexler

“…The controller consists of a nonlinear model predictive controller which uses the state estimation of a moving horizon estimator. The estimator also computes parameter estimates of the prediction model such that the time varying nature of tumor evolution can be captured. …”
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Application of Federal Kalman Filter with Neural Networks in the Velocity and Attitude Matching of Transfer Alignment by Lijun Song, Zhongxing Duan, Bo He, Zhe Li

“…In the paper, the federal Kalman filter (FKF) based on neural networks is used in the velocity and attitude matching of TA, the Kalman filter is adjusted by the neural networks in the two subfilters, the federal filter is used to fuse the information of the two subfilters, and the global suboptimal state estimation is obtained. The result of simulation shows that the federal Kalman filter based on neural networks is better in estimating the initial attitude misalignment angle of inertial navigation system (INS) when the system dynamic model and noise statistics characteristics of inertial navigation system are unclear, and the estimation error is smaller and the accuracy is higher.…”
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High-Gain Observer in Fuel Cell and Cascaded DC-DC Boost Converter System by Nady Soukaina, El Fadil Hassan, Lassioui Abdellah, El Asri Yassine, Hasni Anwar

“…In this study, we propose using a high-gain observer (HGO) in fuel cell systems and the FC-cascade boost converter to achieve precise state estimation and improve control accuracy. The HGO offers significant advantages, including robustness to disturbances, simplicity of design, and reduced dependency on costly sensors, thereby enhancing system performance and reducing operational costs. …”
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Observer-Based Aperiodic Time-Triggered Intermittent Control for Exponential Consensus of Multi-Agent Systems by Xueming Xu, Qingzhi Wang, Baozeng Fu, Lijie Wang

“…OATICP only relies on the output information at sampling instants to estimate the state of the agent itself, and the state estimation information of the neighbor agents at sampling instants to generate the control signal. …”
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Optimal Joint Defense and Monitoring for Networks Security under Uncertainty: A POMDP-Based Approach by Armita Kazeminajafabadi, Mahdi Imani

“…., a network with known compromises): the estimation-based policy that performs the defense actions corresponding to the optimal minimum mean square error state estimation and the distribution-based policy that utilizes the posterior distribution of network compromises to make defense decisions. …”
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Analysis of the Spell of Rainy Days in Lake Urmia Basin using Markov Chain Model by Khadijeh Javan

“…Generally, in all stations the persistent probability of wet state is more than rainy state. Estimation of frequency and spell of rainy days and 2-5-days return period show that with increasing duration, the frequency of rainy days decreases. …”
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Distributed filtering in sensor networks based on linear minimum mean square error criterion with limited sensing range by Teng Shao

“…Distributed filtering is an effective tool to deal with state estimation in which each sensor only communicates information with its neighbors in sensor networks without the requirement of a fusion center. …”
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Event-Based Consensus for General Linear Multiagent Systems under Switching Topologies by Yinshuang Sun, Zhijian Ji, Kaien Liu

“…First, centralised and decentralised event-triggered control strategies based on neighbors’ state estimation are proposed under fixed topology, in which the controller is only updated at the time of triggering. …”
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Suspended Load Path Tracking Control Strategy Using a Tilt-Rotor UAV by M. A. Santos, B. S. Rego, G. V. Raffo, A. Ferramosca

“…An unscented Kalman filter (UKF) is designed for nonlinear state estimation of all the system states, assuming that available information is provided by noisy sensors with different sampling rates that do not directly measure the load’s attitude. …”
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A dexterous and compliant aerial continuum manipulator for cluttered and constrained environments by Rui Peng, Yu Wang, Minghao Lu, Peng Lu

“…To address these challenges, we propose Aerial Elephant Trunk, an aerial continuum manipulator inspired by the elephant trunk, featuring a small-scale quadrotor and a dexterous, compliant tendon-driven continuum arm for versatile operation in both indoor and outdoor settings. We develop state estimation for the quadrotor using an Extended Kalman Filter, shape estimation for the continuum arm based on piecewise constant curvature, and whole-body motion planning using minimum jerk principles. …”
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