Results 241 to 250 of about 3,623,641 (323)

Interacting Multiple Model Based on Maximum Correntropy Kalman Filter

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2021
Traditional interacting multiple model Kalman filter (IMM-KF) was derived for linear discrete time system with Markovian coefficients and it works well under Gaussian noise. In practice, when the system is affected by the impulsive noise, the performance
Xuxiang Fan, Gang Wang, Jiachen Han, Yinghui Wang   +3 more
semanticscholar   +1 more source

Object Tracking in Satellite Videos: A Spatial-Temporal Regularized Correlation Filter Tracking Method With Interacting Multiple Model

IEEE Geoscience and Remote Sensing Letters, 2022
Target occlusion is common in satellite videos, which makes object tracking difficult because most state-of-the-art trackers are not robust to occlusion, particularly complete occlusion.
Yangfan Li, Chunjiang Bian
semanticscholar   +1 more source

An Interacting Multiple Model Estimator of LEO Satellite Clocks for Improved Positioning

IEEE Vehicular Technology Conference, 2022
An interacting multiple-model (IMM) estimator is developed to adaptively estimate the process noise covariance of low Earth orbit (LEO) satellite clocks for improved positioning.
Nadim Khairallah, Z. Kassas
semanticscholar   +1 more source

An adaptive approach for estimation of transition probability matrix in the interacting multiple model filter

Journal of Intelligent & Fuzzy Systems, 2021
The traditional Interacting Multiple Model (IMM) filters usually consider that the Transition Probability Matrix (TPM) is known, however, when the IMM is associated with time-varying or inaccurate transition probabilities the estimation of system states ...
L. B. Cosme, M. D’Angelo, W. Caminhas, M. Camargos, R. Palhares   +4 more
semanticscholar   +1 more source

Building Multiple Regression Models Interactively

Biometrics, 1981
Automated multiple regression model-building techniques often hide important aspects of data from the data analyst. Such features as nonlinearity, collinearity, outliers, and points with high leverage can profoundly affect automated analyses, yet remain undetected.
Henderson, Harold V., Velleman, Paul F.
openaire   +1 more source

Modelling multiple mind–matter interaction

International Journal of Human-Computer Studies, 2002
Relations between mental and physical aspects of an agent can be of various types. Sensing and acting are among the more commonly modelled types. In agent modelling approaches often this is the only interaction between the physical and mental; other possible types of interactions are abstracted away.
Jonker, C.M., Treur, J.
openaire   +2 more sources

Interacting multiple model cubature Kalman filter for geomagnetic/ infrared projectile attitude measurement

, 2021
When GPS signals are interrupted artificially or by environmental interferences, it is impossible to determine the attitude of a spinning projectile using the conventional method.
Zilu He, Xiongzhu Bu, Haoqing Yang, Yang Song   +3 more
semanticscholar   +1 more source

Flexible Interaction Model for Complex Interactions of Multiple Anesthetics

Anesthesiology, 2006
Background Minto et al. (Anesthesiology 2000) described a mathematical approach based on response surface methods for characterizing drug-drug interactions between several intravenous anesthetic drugs. To extend this effort, the authors developed a flexible interaction model based on the general Hill dose ...
Matthew, Fidler, Steven E, Kern
openaire   +2 more sources

Interacting multiple model particle filter

IEE Proceedings - Radar, Sonar and Navigation, 2003
A new method for multiple model particle filtering for Markovian switching systems is presented. This new method is a combination of the interacting multiple model (IMM) filter and a (regularised) particle filter. The mixing and interaction is similar to that in a conventional IMM filter. However, in every mode a regularised particle filter is running.
Y. Boers, J.N. Driessen
openaire   +1 more source

Interacting multiple model-based adaptive control system for stable steering of distributed driver electric vehicle under various road excitations.

ISA transactions, 2020
Distributed driver electric vehicle (DDEV) works under various road excitations in practice, which may cause the changes in steering performance significantly.
Ke Shi, D. Cheng, Xiaofang Yuan, Liangjiang Liu, Lianghong Wu   +4 more
semanticscholar   +1 more source