Abstract: Fast and cost-effective detection of internal defects is essential for structural integrity inspection in various applications such as manufacturing, construction, and aerospace. Current ...
This repository includes source code for training and evaluating meta-learning for system identification and control via neural state-space models, proposed in IFAC World Congress paper: ...
Abstract: The sampling rate of input and output signals is known to play a critical role in the identification and control of dynamical systems. For slow-sampled continuous-time systems that do not ...
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