Results 81 to 90 of about 25,371 (266)

PENAKSIRAN KESENJANGAN OUTPUT INDONESIA: APLIKASI METODE KALMAN FILTER DAN HODRICK-PRESCOTT FILTER

Journal of Indonesian Applied Economics, 2012
This  research will measure  the potential output  in  Indonesia using Kalman-filterand Hodrick-Prescott Filter. The model will  observe  the variations of output  gapand inflation in Indonesia.
Teguh Hadi Priyono
doaj   +1 more source

Experimental validation of the proposed extended Kalman filter with unknown inputs algorithm based on data fusion

Journal of Low Frequency Noise, Vibration and Active Control, 2020
The extended Kalman filter is a useful tool in the research of structural health monitoring and vibration control. However, the traditional extended Kalman filter approach is only applicable when the information of external inputs to structures is ...
Jinshan Huang, Xianzhi Li, Xiongjun Yang, Zhupeng Zheng, Ying Lei   +4 more
doaj   +1 more source

Large Datasets for the Euro Area and Its Member Countries and the Dynamic Effects of the Common Monetary Policy

Journal of Applied Econometrics, EarlyView.
ABSTRACT We introduce EA‐MD‐QD, a new publicly available dataset comprising 1136 macroeconomic time series for the euro area (EA) and its ten largest member countries observed at monthly or quarterly frequency. Since January 2024, EA‐MD‐QD has been updated monthly and continuously revised, providing a valuable resource for policy analysis in the EA ...
Matteo Barigozzi, Claudio Lissona, Lorenzo Tonni   +2 more
wiley   +1 more source

Robust Kalman Filtering [PDF]

, 2000
As already pointed out in Hardle, Klinke, and Muller (2000, Chapter 10), state-space models are very useful and flexible in the sense that various recursive methods for time-dependent situations can be formulated as general solutions of filtering, smoothing and prediction problems in state-space models.
openaire   +3 more sources

Kalman filtering with intermittent observations

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004
Motivated by navigation and tracking applications within sensor networks, we consider the problem of performing Kalman filtering with intermittent observations. When data travel along unreliable communication channels in a large, wireless, multihop sensor network, the effect of communication delays and loss of information in the control loop cannot be ...
B. Sinopoli, SCHENATO, LUCA, M. Franceschetti, K. Poolla, M. Jordan, S. Sastry   +5 more
openaire   +1 more source

A Semi‐Automated Microfluidic Platform Employing Machine Learning Analysis to Study Adhesion Kinetics in Acute Myeloid Leukemia

Microscopy Research and Technique, EarlyView.
We have developed a semi‐automated shear flow platform using bright‐field optics and a machine‐learning analysis algorithm to dissect tumor‐microenvironment interactions. The algorithm quantifies the extent of adhesion at the single‐cell level and delivers consistent results within minutes instead of hours, facilitating high‐throughput analysis ...
Driti Ashok, Dennis Raith, Gabriel Kalweit, Maria Kalweit, Anusha Klett, Justus Duyster, Jonas Bermeitinger, Tanja Nicole Hartmann   +7 more
wiley   +1 more source

Recovering steady‐state visual evoked potential‐related electroencephalography during amplitude‐modulated‐transcranial alternating current stimulation using dynamic adaptive stimulation artifact source separation

Journal of Intelligent Medicine, EarlyView.
Abstract Simultaneous electroencephalography (EEG) recording during transcranial alternating current stimulation (tACS) is strongly contaminated by stimulation artifacts, limiting direct assessment of neural activity. Steady‐state visual evoked potentials (SSVEPs) provide frequency‐specific and phase‐locked responses, making them suitable for ...
Hongzuo Chu, Junling Wang, Xiaoya Liu, Sitong Chen, Tao Wang, Shuang Liu   +5 more
wiley   +1 more source

Inertial‐Based LQG Control: A New Look at Inverted‐Pendulum Stabilization

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Linear‐quadratic Gaussian (LQG) control is a well‐established method for optimal control through state estimation, particularly in stabilizing an inverted pendulum on a cart. In standard laboratory setups, sensor redundancy enables direct measurement of configuration variables using displacement sensors and rotary encoders. However, in outdoor
Daniel Engelsman, Itzik Klein
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

Application of Kalman Filter Algorithm in Battery State-of-Charge Detection

Chemical Engineering Transactions, 2018
This paper throws light on the State-Of-Charge (SOC) and the detection technology of vehicle battery based on the Kalman filter algorithm. To fill the gaps of the Ampere-hour integration estimation algorithm and the extended Kalman filter estimation ...
Tuo Zheng
doaj   +1 more source