Results 41 to 50 of about 7,693 (163)

Differentially private Kalman filtering [PDF]

2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012
9 pages.
Jerome Le Ny, George J. Pappas
openaire   +2 more sources

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

On the convergence of the ensemble Kalman filter [PDF]

Applications of Mathematics, 2011
Convergence of the ensemble Kalman filter in the limit for large ensembles to the Kalman filter is proved. In each step of the filter, convergence of the ensemble sample covariance follows from a weak law of large numbers for exchangeable random variables, the continuous mapping theorem gives convergence in probability of the ensemble members, and $L^p$
Mandel, Jan, Cobb, Loren, Beezley, Jonathan D.   +2 more
openaire   +4 more sources

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

Maximum correntropy Kalman filter [PDF]

Automatica, 2017
Traditional Kalman filter (KF) is derived under the well-known minimum mean square error (MMSE) criterion, which is optimal under Gaussian assumption. However, when the signals are non-Gaussian, especially when the system is disturbed by some heavy-tailed impulsive noises, the performance of KF will deteriorate seriously.
Badong Chen, Xi Liu 0006, Haiquan Zhao 0001, José C. Príncipe   +3 more
openaire   +3 more sources

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  

An elementary introduction to Kalman filtering [PDF]

Communications of the ACM, 2019
Demystifying the uses of a powerful tool for uncertain information.
Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali   +3 more
openaire   +2 more sources

Reduce Position and Velocity RMS Error of Non-linear Filters in LEO Satellite Radar Tracking [PDF]

فصلنامه علوم و فناوری فضایی, 2017
For the detection of and tracking thelow earth orbit Satellites (LEO), there are different methods such as optic, laser and radar tracking, among which radar tracking is the best.
Javad Salem, hossein pilaram, seyyed mohammad alavi   +2 more
doaj  

Extended Kalman Filter with Reduced Computational Demands for Systems with Non-Linear Measurement Models

Sensors, 2020
The paper presents a method of computational complexity reduction in Extended Kalman Filters dedicated for systems with non-linear measurement models.
Piotr Kaniewski
doaj   +1 more source