A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
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Updated
May 24, 2024 - C++
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
RBDL - Rigid Body Dynamics Library - ORB Version - The two main differences to the original rbdl is that this version has error handling and uses polymorphism for constraints
An optimization framework that links CasADi, Ipopt, ACADOS and biorbd for Optimal Control Problem
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python
Learning-Based Model Predictive Control (LBMPC)
A toolkit for testing control and planning algorithm for car racing.
Reinforcement Learning with Model Predictive Control
This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
Use PyTorch Models with CasADi and Acados in Python, C(++) or Matlab
TROPIC: TRajectory OPtimization In CasADi
This repository has the code for the nonlinear model predictive controller for target tracking problems with the use of Casadi framework and Matlab simulation environment. 🏎️
Implementing trajectory optimization on bipedal system
Julia interface to CasADi via PyCall
A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
control theory repo
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