Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past ...

Control Input,Tracking Error,Nonlinear Systems,Optimal Control,Control Design,Adaptive Control,Lyapunov Function,Positive Constant,Closed-loop System,External ...

Reconfigurable Intelligent Surface,Phase Shift,Channel Estimation,Additive Noise,Base Station,Internet Of Things,Optimization Problem,Unmanned Aerial Vehicles,Path Loss,Antenna Array,Channel ...

Book Abstract: Electrical Engineering/Electromagnetics Waves and Fields in Inhomogeneous Media A Volume in the IEEE Press Series on Electromagnetic Waves Donald G ...

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

The increasing use of high-speed digital technology requires that all electrical engineers have a working knowledge of transmission lines. However, because of the introduction of computer engineering ...

Duty Cycle,Switching Frequency,Input Voltage,Switching Loss,Buck Converter,Current Command,Current Control,Dc-link Voltage,High Voltage,Kirchhoff’s Current Law,No ...

Abstract: Autonomous berthing is the last crucial step in achieving full autonomy for unmanned surface vehicles (USVs). It can be transformed into a trajectory-tracking problem. A novel autonomous ...

Abstract: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion ...

Book Abstract: This comprehensive textbook introduces electrical engineers to the most relevant concepts and techniques in electric power systems engineering today. With an emphasis on practical ...