Results 81 to 90 of about 1,473,129 (216)

Adaptive Kalman Filtering: Measurement and Process Noise Covariance Estimation Using Kalman Smoothing

IEEE Access
The Kalman filter is one of the best-known and most frequently used methods for dynamic state estimation. In addition to a measurement and state transition model, the Kalman filter requires knowledge about the covariance of the measurement and process ...
Theresa Kruse, Thomas Griebel, Knut Graichen   +2 more
doaj   +1 more source

Revisiting bare‐ground evaporation in a high‐resolution numerical weather prediction system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
An improved method is proposed to parameterize evaporation in numerical weather prediction models. The figure shows dew‐point temperature forecast error (standard deviation of forecast error and bias) versus lead time over the North Plains region during spring 2022 for three parameterizations: CTL, the α$$ \alpha $$ method of Jacquemin and Noilhan; IFS:
Vincent Fortin, Marc Verville, Vincent Vionnet, Marco Carrera, Dorothée Charpentier   +4 more
wiley   +1 more source

Accelerating Gauss-Newton filters on FPGA's [PDF]

, 2010
Includes bibliographical references (leaves 123-128).Radar tracking filters are generally computationally expensive, involving the manipulation of large matrices and deeply nested loops. In addition, they must generally work in real-time to be of any use.
Da Conceicao, Jean-Paul Costa
core   +1 more source

Input-Weighted Newton Fading Extended Kalman Filter for Experimental Output Estimation in Control Systems

Amesia
This paper proposes an Input-Weighted Newton Fading Extended Kalman Filter (IW-NF-EKF) for real-time output estimation in control systems subject to modeling uncertainty and excitation-dependent disturbances.
Levent Özbek
doaj   +1 more source

Validation of Neural Network Controllers for Uncertain Systems Using the Keep‐Close Approach: Robustness Analysis and Safety Verification

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The safety verification of neural network (NN) controllers operating in uncertain environments characterized by unmodeled dynamics, nonlinearities, and time delays remains a fundamental challenge in robust control analysis. This article introduces a novel method, termed Keep‐Close, for analyzing the performance and robustness of uncertain ...
Abdelhafid Zenati, Nabil Aouf
wiley   +1 more source

Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation

Global Energy Interconnection
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi, Indragandhi Vairavasundaram   +1 more
doaj   +1 more source

Observer Design for Vector Nonlinear Systems With Applications to Autonomous Vehicles and Robots

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper focuses on observer design for nonlinear systems involving functions of vector arguments. The output equations and the process dynamics are both composed of nonlinear functions of nonseparable multivariable states. The partial derivatives of the nonlinear functions are assumed to be bounded.
Gaurav Sharma, Ali Zemouche, Rajesh Rajamani   +2 more
wiley   +1 more source

Neural Network‐Based Runtime Monitoring and Control for Unknown Nonlinear Systems

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time system monitoring and stabilization become especially challenging when the system dynamics are unknown. This article introduces a novel design for monitoring and stabilizing unknown nonlinear systems with measurement noise. The design utilizes a generic modelling framework by decomposing the system into a known tunable linear ...
Jianglin Lan, Xianxian Zhao, Ron Patton
wiley   +1 more source

Adaptive Kalman Filter: Noise Reduction in Diagonal Drawings on Stylus/Pen Touchscreens for Enhanced Precision

Scientific Journal of King Faisal University: Basic and Applied Sciences
The adaptive Kalman filtering algorithm, designed to accommodate the dynamic nature of the system, provides an adaptive estimation of the state by incorporating both process and measurement noise considerations, thereby effectively reducing the noise and
Summiya Parveen
doaj   +1 more source

Estimação de tempos de chegada de ônibus urbano utilizando filtros de Kalman [PDF]

, 2012
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Automação e Sistemas.A fim de diminuir congestionamentos, poluição do ar, consumo de combustível, entre outros, tem-se buscado
Gurgel, Felipe Sanches
core