WangXiaoMingo / TensorDL-MPC

DL-MPC(deep learning model predictive control) is a software toolkit developed based on the Python and TensorFlow frameworks, designed to enhance the performance of traditional Model Predictive Control (MPC) through deep learning technology. This toolkit provides core functionalities such as model training, simulation, parameter optimization.

Date Created 2024-08-07 (8 months ago)

Commits 29 (last one 14 days ago)

Stargazers 32 (0 this week)

Watchers 1 (0 this week)

Forks 2

License agpl-3.0

Ranking

RepositoryStats indexes 638,560 repositories, of these WangXiaoMingo/TensorDL-MPC is ranked #594,927 (7th percentile) for total stargazers, and #561,610 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #120,470/130,935.

WangXiaoMingo/TensorDL-MPC is also tagged with popular topics, for these it's ranked: deep-learning (#8,523/8857), machine-learning (#8,070/8462), control (#247/256), modeling (#197/204)

Other Information

WangXiaoMingo/TensorDL-MPC has Github issues enabled, there is 1 open issue and 0 closed issues.

There have been 1 release, the latest one was published on 2024-10-20 (5 months ago) with the name v1.0.

Homepage URL: https://github.com/WangXiaoMingo/TensorDL-MPC

All Topics

mpc dl-mpc control deep-mpc lstm-mpc modeling predictive deep-learning machine-learning model-predictive-control deep-learning-model-predictive-control

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29 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2025-04-13 @ 08:18pm, id: 839386590 / R_kgDOMggF3g