Abstract: In this paper, an improved finite control set-model predictive control strategy for four-level nested neutral point clamped (4L-NNPC) converters is proposed. Compared with two-level ...
Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...
This paper addresses the path-following challenge for a turtle-inspired biomimetic robot propelled by 3 degree-of-freedom flippers. First, a high-fidelity hydrodynamic model is established through ...
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 ...
Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as perceptrons or ...
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