The global transition toward low-carbon development is accelerating the deployment of next-generation multi-energy systems that integrate renewable and ...
Abstract: Adaptation is a desirable feature when dealing with the identification of complex systems. However, this property can be difficult to achieve when non-convex model structures such as neural ...
Want Google out of your life? It's pretty easy to find alternative search, email, and photo storage providers, but it's much harder to come up with a mobile operating system that's free of Google. The ...
This repository contains the codes for framework for equation discovery by combining Neural Networks with Characteristic Curves (NN-CC), Symmetry Constraints, and Post-Symbolic Regression (Post-SR).
China’s ruling Communist Party is using artificial intelligence to turbocharge the surveillance and control of its 1.4 billion citizens, with the technology reaching further into daily life, ...
of the cycled system, enabling precise identification of systems operating in multirate sensing environments. A research team at Kumamoto University (Japan) has unveiled a new mathematical framework ...
AUSTIN, Texas--(BUSINESS WIRE)--Allen Control Systems (ACS), a leader in autonomous precision robotics, today announced the launch of its Friend and Foe Operating System (FAFOS) for unmanned platforms ...
Abstract: This article proposes a deep Koopman-based identification method for nonlinear dynamical systems with modeling residuals learned recursively by incremental Gaussian process regression (IGPR) ...
College of Environmental Sciences and Engineering, The Key Laboratory of Water and Sediment Sciences, Peking University, Beijing 100871, P.R. China College of Environmental Sciences and Engineering, ...
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