An open-source systems and controls toolbox for Python3
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Updated
Jun 28, 2023 - Python
An open-source systems and controls toolbox for Python3
Model-based Control using Koopman Operators
Height Control and Optimal Torque Planning for Jumping with Wheeled-Bipedal Robots
PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models), with extensions to controlled dynamical systems.
Model-based Calibration of Multiple Injections for a CI engine
We compare model-free and model-based methods in the context of battery control.
For the consolidation of my personal model predictive control (MPC) library. Example cases also given.
JAX compilation of RDDL description files, and a differentiable planner in JAX.
Sidney's Technical Blog
Sketches of model-based control ideas for gym classic control
Docker files for connecting the PROST planner with pyRDDLGym.
Wrappers for reinforcement learning algorithms (i.e. stable baselines 3, RLlib) to work with pyRDDLGym.
Gurobi compilation of RDDL description files to mixed-integer programs, and optimization tools.
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