Book Abstract: In 1971 Dr. Paul C. Lauterbur pioneered spatial information encoding principles that made image formation possible by using magnetic resonance signals. Now Lauterbur, "father of the MRI ...

Thoroughly revised and expanded, this second edition of the popular reference addresses the many important advances that have taken place in the field since the publication of the first edition and ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6731005 ...

Abstract: Deadbeat predictive current control (DPCC) has been widely applied in permanent magnet synchronous motor (PMSM) drives due to its fast dynamic response and good steady-state performance.

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically ...

Current Control,Low-pass,Grid Impedance,Phase-locked Loop,Point Of Common Coupling,Stator Current,Transfer Function,Weak Grid,Dc-link Voltage,Optimal Control,Voltage ...

Internet Of Things,Deep Learning,Unmanned Aerial Vehicles,Deep Reinforcement Learning,Learning Algorithms,Edge Computing,Neural Network,Internet Of Things Devices ...

Book Abstract: This advanced text and reference covers the design and implementation of integrated circuits for analog-to-digital and digital-to-analog conversion. It begins with basic concepts and ...

Abstract: The goal of Optimal Transport (OT) is to define geometric tools that are useful to compare probability distributions. Their use dates back to 1781. Recent years have witnessed a new ...

Abstract: Although the problem of determining the minimum cost path through a graph arises naturally in a number of interesting applications, there has been no underlying theory to guide the ...

Fault Diagnosis,Cyber-physical Systems,Intrusion Detection,Anomaly Detection,Attack Detection,Control System,Intrusion Detection System,Sliding Mode Control,Actuator ...

Abstract: This chapter contains sections titled: Artificial Neural Networks, Neural Network Learning Algorithms, What a Perceptron Can and Cannot Do, Connectionist Models in Cognitive Science, Neural ...