PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
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Updated
Jun 19, 2024 - Python
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
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
Reinforcement Learning with Model Predictive Control
A toolkit for testing control and planning algorithm for car racing.
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
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
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).
Collocation methods for trajectory optimization for second or higher order systems.
Rigid transform using Lie groups and Dual Quaternions, written in CasADi!
Cocofest is an optimal control python package for functional electrical stimulation models
This repo will implement Bayesian optimization using PYRO
MPC pathtracking implementation with python, solved by PANOC/IPOPT
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