Improved ASHCPWM with Reduced IGBT Switching Actions and Kalman Filter-Based Zero-Sequence Suppression for Open-End Winding PMSM Drives. [PDF]
Zhang Y, Qu M, Xie H, Xia Y, Hu L.
europepmc +1 more source
Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach
ABSTRACT This paper discusses lap time optimization, focusing on a single lap without considering opponents in autonomous racing. The paper presents a control and optimization architecture composed of a model‐based low level controller and a higher level iterative learning algorithm with the goal of obtaining the fastest qualifying lap in autonomous ...
Mustafa Alp +3 more
wiley +1 more source
A Three-Layer Adaptive Kalman Filter Approach for Multi-Source Time Fusion Using Temperature-Compensated Oscillators with GNSS and eLoran Backup. [PDF]
Yuan Z, Gao S, Li P, Zhang S.
europepmc +1 more source
ABSTRACT This study investigates control strategies for large‐scale floating offshore wind turbines using the semi‐submersible IEA 15‐MW turbine as a benchmark. A gain‐scheduled PI (GSPI) controller is firstly established as the baseline for collective pitch control (CPC).
Dongxiao Bai +3 more
wiley +1 more source
A Dual-Adaptive Sage-Husa Kalman Filter with Model Matching Check for GNSS/INS-Integrated Navigation. [PDF]
Zhou M +11 more
europepmc +1 more source
Digital Twins for Offshore Wind Operation and Maintenance: A Review
ABSTRACT Offshore wind has become a key focus for achieving carbon neutrality. However, offshore wind turbines face considerable operational and maintenance challenges due to harsh conditions and difficult access. Integrating digital twin technology helps support operation and maintenance activities.
Xiaomei Hu +4 more
wiley +1 more source
Fast and Scalable Air Quality Neural Emulator for High‐Resolution Predictions on Very Large Domains
Abstract This research explores the development and implementation of SIRANet, an advanced deep learning‐based emulator designed for fine‐scale air quality modeling. Leveraging the computational efficiency of neural networks, SIRANet builds upon the established SIRANE atmospheric pollution modeling framework.
Maxime Beauchamp +6 more
wiley +1 more source
AUKF-PINN: An adaptive framework for low-energy gamma multiphase flow measurement under noisy industrial conditions. [PDF]
Huang Y +5 more
europepmc +1 more source
An Ensemble Kalman Smoother for Online Paleoclimate Data Assimilation
Abstract An integrated hybrid ensemble Kalman smoother (IHEnKS) is proposed to optimally utilize proxy data from the past to the future for paleoclimate data assimilation (PDA). As an extension of the integrated hybrid ensemble Kalman filter, IHEnKS assimilates future proxies through cross‐time error covariances, which are estimated from an online PDA ...
Haohao Sun +4 more
wiley +1 more source
CAT-GAN-UKF: category-aware online adaptive unscented kalman filtering for trajectory-level multi-object state estimation. [PDF]
Tobaly L, Yaniv E, Zalevsky Z.
europepmc +1 more source

