Abstract: This study presents an adaptive PI current control technique for sensorless speed regulation of high-power propulsion permanent magnet synchronous motors (PMSMs), built on a multivariable ...

Department of Electrical Engineering, Higher Institute of Science and Technology, Nalut, Libya. This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive ...

The architecture of our RDLUF with $K$ stages (iterations). RDLGD and PM denote the Residual Degradation Learning Gradient Descent module and the Proximal Mapping ...

1 School of Information and Electronics, Beijing Institute of Technology, Beijing, China. 2 Department of Engineering and Technology, Trine University, Fort Wayne, USA. 3 Department of Information ...

Abstract: Reactor system modeling is the premise of reactor control system design. The common commercial thermal and hydraulic analysis programs like RELAP5, RETRAN have complex structure and slow ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. This study ...

This repository contains the code and pretrained models for "Learning-Based Reconstruction of FRI Signals" (TSP' 23; arxiv). The code consists of two different learning-based FRI models: Deep Unfolded ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Photonic topology optimization is a technique used to find the permittivity ...

We introduce a supervised learning framework for target functions that are well approximated by a sum of (few) separable terms. The framework proposes to approximate each component function by a ...

We present a theory of neural circuits’ design and function, inspired by the random connectivity of real neural circuits and the mathematical power of random projections. Specifically, we introduce a ...