Results 51 to 60 of about 1,473,129 (216)

Distributed State Estimation for Mobile Robots in LiDAR Sensor Networks With Intermittent Inertial Measurements

Advanced Intelligent Systems, EarlyView.
A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley   +1 more source

Multirobot Aerial Soft Manipulator for Floating Litter Collection

Advanced Intelligent Systems, EarlyView.
A multirobot aerial manipulator enables autonomous floating litter collection by controlling the shape of a flexible rope equipped with a hook‐based tool. Adaptive rope‐shape planning enhances grasping performance while reducing tension, demonstrating the potential of aerial robots for floating litter removal. Removing floating litter from water bodies
Antonio González‐Morgado, Sander Smits, Guillermo Heredia, Anibal Ollero, Alexandre Krupa, François Chaumette, Fabien Spindler, Antonio Franchi, Chiara Gabellieri   +8 more
wiley   +1 more source

Kalman Filters

, 2018
This book presents recent issues on theory and practice of Kalman filters, with a comprehensive treatment of a selected number of concepts, techniques, and advanced applications.

core   +1 more source

Synchronization‐Performance‐Oriented Frequency‐Domain Iterative Learning Control for Wafer and Reticle Stages

Asian Journal of Control, EarlyView.
ABSTRACT The synchronization accuracy between the wafer stage and reticle stage in lithography is critical to overlay and critical dimension uniformity. Existing iterative learning control (ILC) methods indirectly optimize synchronization via time‐domain errors, failing to balance low‐frequency tracking accuracy and high‐frequency noise suppression ...
Xin Zhou, Yuejing Qi, Zhipeng Wu, Wei Qi, Tianwei Xu   +4 more
wiley   +1 more source

Performance change detection and recovery in inferential control loops

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract In most industrial environments, soft sensors are crucial for estimating variables that are hard to measure. It is critical that these variables be estimated quickly and accurately because they are closely linked to plant safety and profit. Therefore, performance drift in the soft sensors cannot be ignored.
Xuanhui Zhai, Yuri A. W. Shardt
wiley   +1 more source

Improving Ballistic Prediction Accuracy for Upper Stages Using Adaptive Kalman Filtering

Aerospace
Accurate ballistic trajectory prediction for upper stages on low Earth orbit is challenged by non-stationary atmospheric density driven by solar activity: as density varies, fixed noise covariance matrices in standard Kalman filters become mismatched ...
Tamila Zhakenova, Marat Nurguzhin, Aruzhan Toleubay, Nurlybek Spandiyar, Arman Komekbayev, Oraz Kumarkhan   +5 more
doaj   +1 more source

Restauração de imagens via filtragem de Kalman e considerações sobre a avaliação da qualidade de imagens restauradas [PDF]

, 2003
Tese (doutorado) - Universidade Federal de Santa Catarina. Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.A presente tese trata da utilização de programação evolucionária (PE) em sistemas de restauração de imagens via filtragem de ...
Zampolo, Ronaldo de Freitas
core  

A perspective on parsimonious hybrid models for online use: Augmenting fundamental models with ARIMA disturbances

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley   +1 more source

Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters

The Scientific World Journal, 2014
We address the problem of estimating time-varying fading channels in filter bank multicarrier (FBMC/OQAM) wireless systems based on pilot symbols. The standard solution to this problem is the least square (LS) estimator or the minimum mean square error ...
Mahmoud Aldababseh, Ali Jamoos
doaj   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source