Results 61 to 70 of about 3,045 (214)

A Novel Smart Method for State Estimation in a Smart Grid Using Smart Meter Data

Applied Computational Intelligence and Soft Computing, 2022
Smart grids have brought new possibilities in power grid operations for control and monitoring. For this purpose, state estimation is considered as one of the effective techniques in the monitoring and analysis of smart grids.
Felix Ghislain Yem Souhe, Alexandre Teplaira Boum, Pierre Ele, Camille Franklin Mbey, Vinny Junior Foba Kakeu   +4 more
doaj   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

Comparison of Linearized Kalman Filter and Extended Kalman Filter for Satellite Motion States Estimation

Journal of Measurement Science and Instrumentation, 2011
The performance of the conventional Kalman filter depends on process and measurement noise statistics given by the system model and measurements.The conventional Kalman filter is usually used for a linear system,but it should not be used for estimating ...
Ya-fei YANG
doaj  

Quadrature Kalman filter–based state of charge estimation for lithium-ion battery

Advances in Mechanical Engineering, 2020
This article presents an approach to lithium-ion battery state of charge estimation based on the quadrature Kalman filter. Among the existing state of charge estimation approaches, the extended Kalman filter–based state of charge and unscented filter ...
Mengtao Huang, Chao Wang, Bao Liu, Fan Wang, Jingting Wang   +4 more
doaj   +1 more source

Risk-Sensitive Extended Kalman Filter

2024 IEEE International Conference on Robotics and Automation (ICRA)
In robotics, designing robust algorithms in the face of estimation uncertainty is a challenging task. Indeed, controllers often do not consider the estimation uncertainty and only rely on the most likely estimated state. Consequently, sudden changes in the environment or the robot's dynamics can lead to catastrophic behaviors.
Jordana, Armand, Meduri, Avadesh, Arlaud, Etienne, Carpentier, Justin, Righetti, Ludovic   +4 more
openaire   +3 more sources

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source

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, Min Jiang, Wentao Huang, Qingchao Jiang   +3 more
wiley   +1 more source

Distributed Orbit Determination for Global Navigation Satellite System with Inter-Satellite Link

Sensors, 2019
To keep the global navigation satellite system functional during extreme conditions, it is a trend to employ autonomous navigation technology with inter-satellite link.
Yuanlan Wen, Jun Zhu, Youxing Gong, Qian Wang, Xiufeng He   +4 more
doaj   +1 more source

Pose estimation by extended Kalman filter using noise covariance matrices based on sensor output

ROBOMECH Journal, 2020
This paper presents an extended Kalman filter for pose estimation using noise covariance matrices based on sensor output. Compact and lightweight nine-axis motion sensors are used for motion analysis in widely various fields such as medical welfare and ...
Ayuko Saito, Satoru Kizawa, Yoshikazu Kobayashi, Kazuto Miyawaki   +3 more
doaj   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

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, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source