pratyushkumar211 / industrial_nnmpc_2021Links
Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."
☆19Updated 4 years ago
Alternatives and similar repositories for industrial_nnmpc_2021
Users that are interested in industrial_nnmpc_2021 are comparing it to the libraries listed below
Sorting:
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆50Updated 5 years ago
- Repository for Koopman based learning and nonlinear control☆52Updated 3 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆67Updated 2 years ago
- Model-based Control using Koopman Operators☆57Updated 5 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆85Updated 6 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆70Updated 4 years ago
- Tube-certified nonlinear tracking with robust control contraction metrics☆29Updated 2 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 6 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 5 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆61Updated 2 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Synthesis of control barrier functions with SOS☆15Updated 2 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆42Updated 3 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆61Updated 2 years ago
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆24Updated 4 months ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 4 years ago
- This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning b…☆29Updated last year
- ☆27Updated 4 years ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆15Updated last year
- ☆10Updated 3 years ago
- Code needed to reproduce the examples in "Data-driven System Level Synthesis" by Anton Xue and Nikolai Matni.☆11Updated 3 years ago
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆16Updated 2 years ago
- Code for "Learning Local Control Barrier Functions for Safety Control of Hybrid Systems"☆14Updated last year
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 3 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆63Updated 9 months ago
- ☆80Updated 7 years ago
- Suite of Predictive Controllers for Industrial Embedded Systems. A Matlab toolbox for automatic code generation of solvers for MPC contro…☆19Updated 3 months ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆89Updated last year
- Implementation of Deep Q-Network(DQN)and Model Predictive Control, and their evaluation on the Quanser robot platform☆15Updated 5 years ago