simorxb / MPC-Pendulum-Python
Model Predictive Control implemented in Python, using scipy.optimize.minimize, on the model of a pendulum.
☆23Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MPC-Pendulum-Python
- Model-based Control using Koopman Operators☆46Updated 4 years ago
- A Model Predictive Control (MPC) Python library based on the OSQP solver.☆191Updated 3 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated last year
- List of literature and software for optimal control and numerical optimization.☆69Updated 5 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆54Updated 3 years ago
- MPC with Gaussian Process☆200Updated 5 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆45Updated last year
- Automatic Tuning for Data-driven Model Predictive Control☆57Updated last year
- Reduced Order Model Predictive Control☆18Updated 2 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆12Updated last year
- Repository for Koopman based learning and nonlinear control☆37Updated last year
- MATLAB LMPC implementation for a double integrator system☆57Updated 3 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆79Updated last year
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆24Updated 3 years ago
- Implementation of reduced-order optimal control schemes for finite element models of Soft Robots☆26Updated last month
- Differentiable predictive control (DPC) policy optimization examples.☆47Updated last year
- Sampling based Model Predictive Control package for Model-Based RL research☆51Updated 4 years ago
- Algorithms for implementation the Explicit MPC using the multi-parametric quadratic programming.☆21Updated 2 years ago
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆22Updated 5 months ago
- ☆57Updated 6 years ago
- ☆70Updated 6 months ago
- A pseudo-spectral collocation based multi-phase Optimal control problem solver☆54Updated 4 months ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆16Updated 2 years ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆165Updated 11 months ago
- Open-source code used in our paper titled 'Finite-Horizon, Energy-Optimal Trajectories in Unsteady Flows'☆13Updated 3 years ago
- Lyapunov-stable Neural Control for State and Output Feedback☆57Updated 3 months ago
- Contains simple MPC implementation with neural network learned dynamics.☆15Updated 6 years ago
- Data Driven Reachability Analysis from Noisy Data☆21Updated 7 months ago
- Here, we post the codes that implement the Model Predictive Controller (MPC) for linear systems.☆70Updated 8 months ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆44Updated last week