Factual package intelligence from PyPI

kq-lmpc-quadrotor 1.1.2 package intelligence

A complete, hardware-ready Python package for Koopman-based Linear Model Predictive Control (LMPC), delivering real-time trajectory tracking for quadrotors using analytical Koopman lifting (no training data required).

pip install kq-lmpc-quadrotor

Current version
1.1.2
Python requirement
>=3.8
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
78.1 KiB
Release history
10 releases with files
Median release cadence
0 days

kq-lmpc-quadrotor dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.20
  2. scipy >=1.8
  3. casadi >=3.6.3
  4. matplotlib >=3.5
  5. pyquaternion >=0.9.9

Compatibility and release files

kq-lmpc-quadrotor publishes 1 wheel and 1 source archive for version 1.1.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .