Results 121 to 130 of about 39,931 (297)
Measurement + ControlTo address particle degeneracy and the challenge of selecting importance density functions in traditional particle filters for complex nonlinear systems, we propose an adaptive mixed-order spherical simplex-radial cubature particle filter algorithm based
Ning Wang, Fanming Liu
doaj +1 more source
SensorsThe aim of this study is to introduce and evaluate a dual filter that combines Radial Basis Function neural networks and Kalman filters to enhance the accuracy of numerical wave prediction models.
Athanasios Donas +4 more
doaj +1 more source
F-8C adaptive flight control extensions [PDF]
An adaptive concept which combines gain-scheduled control laws with explicit maximum likelihood estimation (MLE) identification to provide the scheduling values is described.
Hartmann, G. L., Stein, G.
core +1 more source
Better on Average? Average Inflation Targeting With an Unclear Averaging Window
Southern Economic Journal, EarlyView.ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley +1 more source
Improved Adaptive Estimation Approach for Aircraft and Land Vehicle Applications
IEEE AccessA precise dynamic model and exact statistical information are required in a standard Kalman filter to ensure optimal performance. Without these, degraded performance may be obtained.
Chen Jiang +3 more
doaj +1 more source
Assessment of an Anomaly Detector for Jet Engine Health Monitoring
International Journal of Rotating Machinery, 2011 The goal of module performance analysis is to reliably assess the health of the main components of an aircraft engine. A predictive maintenance strategy can leverage this information to increase operability and safety as well as to reduce costs ...
Sebastien Borguet, Olivier Léonard
doaj +1 more source
Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Combining the classical Kalman filter (KF) with a deep neural network (DNN) enables tracking in partially known state space (SS) models. A major limitation of current DNN-aided designs stems from the need to train them to filter data originating from a specific distribution and underlying SS model.
Ni, Xiaoyong +2 more
openaire +2 more sources
The Mediator's Mind: Navigating Party Psychology and Behavioural Dynamics in Dispute Resolution
Systems Research and Behavioral Science, EarlyView.ABSTRACT Mediation increasingly requires psychological competence, as mediators regulate emotion, cognition and interaction within conflict systems. This study examines how mediators' psychological awareness and behavioural reflexivity shape conflict trajectories, advancing the concept of a behavioural architecture that transforms emotional volatility ...
Ali Almarri
wiley +1 more source
IET Science, Measurement & TechnologyThe problem of dynamic attitude alignment for strapdown inertial navigation system (SINS) and Doppler velocity log (DVL) integrated navigation has become a research hotspot. Underwater complex environment makes DVL output vulnerable to non‐Gaussian noise
Bing Zhu +5 more
doaj +1 more source
IEEE AccessThe field of intelligent transportation systems is rapidly evolving, with increasing focus on addressing traffic congestion, a pervasive problem in urban environments.
Younus Hasan Taher +6 more
doaj +1 more source