Results 51 to 60 of about 25,371 (266)
Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan +3 more
wiley +1 more source
Study on Application and Development of Composite Kalman Filter in Geomagnetic Navigation [PDF]
Hangkong bingqiGeomagnetic navigation, as an autonomous, passive, and highly concealed navigation method, has garnered significant attention in recent years within the fields of aerospace and underwater navigation.
You Gaoyun, Li Xinsan, Qin Weiwei, Li Ting, Shen Qiang, Li Can, Liao Shouyi
doaj +1 more source
Energies, 2023 Research on batteries’ State of Charge (SOC) estimation for equivalent circuit models based on the Kalman Filter (KF) framework and machine learning algorithms remains relatively limited.
Hongyuan Yuan +3 more
doaj +1 more source
Differentially private Kalman filtering [PDF]
2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012 9 pages.
Jerome Le Ny, George J. Pappas
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Advanced Intelligent Systems, EarlyView.A quadrupedal integrated leg‐arm robot with an underactuated reconfigurable body is developed. By using a Sarrus mechanism as the body, the robot enables reconfiguration through its supporting limbs, achieving mode switching without additional actuators.
Xinghan Zhuang +8 more
wiley +1 more source
FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The target dynamics model for tracking of spiraling reentry vehicles is considered. The features of Extended Kalman filter modification and Unscented Kalman filter are listed.
A. S. Solonar, P. A. Khmarski
doaj
On the convergence of the ensemble Kalman filter [PDF]
Applications of Mathematics, 2011 Convergence of the ensemble Kalman filter in the limit for large ensembles to the Kalman filter is proved. In each step of the filter, convergence of the ensemble sample covariance follows from a weak law of large numbers for exchangeable random variables, the continuous mapping theorem gives convergence in probability of the ensemble members, and $L^p$
Mandel, Jan +2 more
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AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
On structural controllability in complex networks with periodic switching topologies
Asian Journal of Control, EarlyView.Abstract This paper investigates the structural controllability of complex networks with periodic switching topologies. First, several graph transformations that preserve structural controllability are demonstrated. Based on the n‐walk theory, a criterion is derived that determines structural controllability by analyzing only the joint graph within a ...
Jingrui Hou +3 more
wiley +1 more source
An elementary introduction to Kalman filtering [PDF]
Communications of the ACM, 2019 Demystifying the uses of a powerful tool for uncertain information.
Yan Pei +3 more
openaire +2 more sources