Results 61 to 70 of about 95,986 (277)
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 +4 more
doaj +1 more source
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 +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 +3 more
wiley +1 more source
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
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 +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 +3 more
doaj +1 more source
Sparsity-Based Kalman Filters for Data Assimilation [PDF]
, 2018 Several variations of the Kalman filter algorithm, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are widely used in science and engineering applications.
Kang, Wei, Xu, Liang
core +1 more source
An Extended Kalman Filter for Data-enabled Predictive Control
, 2020 The literature dealing with data-driven analysis and control problems has significantly grown in the recent years. Most of the recent literature deals with linear time-invariant systems in which the uncertainty (if any) is assumed to be deterministic and
Alpago, Daniele +2 more
core +1 more source
Terrestrial Cyborg Insects for Real‐Life Applications
Advanced Intelligent Systems, EarlyView.This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le +10 more
wiley +1 more source
Enabling Stochastic Dynamic Games for Robotic Swarms
Advanced Intelligent Systems, EarlyView.This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source