3 days ago · We use Koopman theory for data-driven model reduction of nonlinear dynamical systems with controls. We propose generic model structures combining delay-coordinate encoding of measurements and full-state decoding to integrate reduced Koopman modeling and state estimation. We present a deep-learning approach to train the proposed models. A case study demonstrates that our approach provides
Encoding is the process of translating information into a form that can be transmitted to another person or system. The sender must first encode their message in a way that can be understood by the recipient, and then the recipient must decode the message in order to understand it.
Ask an early-elementary teacher what the recently popularized term “science-based reading instruction” means, and the response is likely to include something about decoding—the process of
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what is encoding and decoding
