Abstract: An AC disturbance suppression method for permanent magnet synchronous motor (PMSM) drives is proposed on the basis of a mathematical optimization algorithm. First, the AC disturbances of the ...
Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...
DMCN Nash Seeking Based on Distributed Approximate Gradient Descent Optimization Algorithms for MASs
Abstract: A key problem in multiagent multitask systems is optimizing conflict-free strategies, especially when task-assignment is coupled with path-planning. Incomplete information exacerbates this ...
ABSTRACT: The development of artificial intelligence (AI), particularly deep learning, has made it possible to accelerate and improve the processing of data collected in different fields (commerce, ...
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