Abstract: The kernel-based inverse system identification framework enables accurate identification of systems with non-minimum phase dynamics, greatly expanding the potential of non-causal system ...
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 ...
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: ...
This system tackles the challenge of maintaining consistent player identities in sports videos, even when players temporarily leave and re-enter the frame. The solution combines object detection, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results