Abstract: This paper focuses on dynamic inductive power transfer (DIPT) systems and develops a large-signal model to support real-time hardware-in-the-loop (HIL) simulations. Such modeling is ...
Adrian Macneil has a solid understanding of this space. As an executive at the self-driving startup Cruise, he built the ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...
Abstract: This paper presents the design and analysis of a fast-transient buck converter employing a low-complexity, ripple-based constant on-time (R-COT) control architecture. To overcome stability ...
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