Results 51 to 60 of about 65,516 (291)

Wavelet Ensemble Kalman Filters

, 2011
We present a new type of the EnKF for data assimilation in spatial models that uses diagonal approximation of the state covariance in the wavelet space to achieve adaptive localization.
Beezley, Jonathan D., Cobb, Loren, Mandel, Jan   +2 more
core   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Implementation of unknown parameter estimation procedure for hybrid and discrete non‐linear systems

IET Radar, Sonar & Navigation
The application of the hybrid extended Kalman filter (HEKF), hybrid unscented Kalman filter (HUKF), hybrid particle filter (HPF), and hybrid extended Kalman particle filter (HEKPF) is discussed for hybrid non‐linear filter problems, when prediction ...
Mahdi Razm‐Pa
doaj   +1 more source

Optimizing Lane Change Precision in Autonomous Vehicles: Smooth Trajectory Execution With MPC-Based State Estimation

IEEE Access
Autonomous vehicle lane change maneuvers are an intricate task that requires multiple subsystems to work together to ensure the maneuver’s safety and efficiency.
Heyi Muluneh Hailu, Salim Hima, Ahmed Chaibet   +2 more
doaj   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

The comparative analysis of unscented and extended Kalman filterS for global positioning systems receiver data processing

Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019
The features of extended and unscented Kalman filters for global positioning systems receiver data processing are considered. The estimation performance of extended and unscented Kalman filters is compared.
A. N. Moroz, P. A. Khmarski, S. A. Shaban, O. V. Sidorovich   +3 more
doaj  

Power Generation Prediction of an Open Cycle Gas Turbine Using Kalman Filter

Energies, 2020
The motivation for this paper is the enhanced role of power generation prediction in power plants and power systems in the smart grid paradigm. The proposed approach addresses the impact of the ambient temperature on the performance of an open cycle gas ...
Christos Manasis, Nicholas Assimakis, Vasilis Vikias, Aphrodite Ktena, Tassos Stamatelos   +4 more
doaj   +1 more source

Morphing Ensemble Kalman Filters

, 2007
A new type of ensemble filter is proposed, which combines an ensemble Kalman filter (EnKF) with the ideas of morphing and registration from image processing.
Alexander G. D., Anderson J. L., Brown L. G., Burgers G., Chen Y., Davis C., Evensen G., Evensen G.,, Frey A. E., Gao P., Hoffman R. N., Houtekamer P., Jan Mandel, Jonathan D. Beezley, Kalman R. E., Ravela S.   +15 more
core   +2 more sources

State-dependent Kalman filters for robust engine control [PDF]

, 2006
Vehicle emissions variations impose significant challenges to the automotive industry. In these simulation studies, nonlinear estimation techniques based on state-dependent and extended Kalman filtering are developed for spark ignition engines to enhance
Dutka, Arkadiusz, Grimble, Michael J., Javaherian, Hossein   +2 more
core   +1 more source

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source