Abstract: Control of underactuated mechanical systems via energy shaping is a well-established, robust design technique. Unfortunately, its application is often stymied by the need to solve partial ...
Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
This project is part of Julia's Season of Contribution 2019. For an introduction to the algorithms and an overview of the features, you can take a look at the blog posts: #1, #2.
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