Several subjectsYou can find several kinds of pictures on this page:
- About Machine Learning and Control - >> click here <<
- About Non-Uniform DMD - >> click here <<
- About 3D analysis - >> click here <<
- About close-loop control - under construction
- About Computer-Human Interaction
- Exploration of datasets - >> click here <<
- Comprehension of the environment - under construction
Machine Learning and Control
The objective is the data driven control of a (unknown) system, by using statistical (unsupervised machine) learning.
In black, the uncontrolled trajectory of the Lorenz' system, during the learning stage. In red, the controlled response. Only the X3 component is observed, while the control is done on the X1 component.
Same, but only the X1-component is drawn.
Non-Uniform Dynamic Mode Decomposition
If you have a dataset which is not time resolved (in the sense of Nyquist) or too big, you can still inexpensively extract spectral informations
Comparison of slices of the DMD and the NUDMD modes. Only 0.0001% of the original information was necessary for the NUDMD to give results!
Sample of 3D Computations
These pictures are juste a few samples !
Because 3D DNS dataset are enlightful for understanding experimental 2D dataset, here is some 3D DMD mode
and 3D LCS of a cavity flow.
Exploration of datasets
Here is some pictures of tools for exploring dataset in fluid mechanics. You can directly manipulate the dataset :
Or you can interact with the dataset :
If you are interested in CHI for the exploration of datasets, you can also watch these videos !