pratyushkumar211 / industrial_nnmpc_2021
Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."
☆17Updated 3 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
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆24Updated 2 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated last year
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 4 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆44Updated 4 years ago
- Synthesis of control barrier functions with SOS☆12Updated last year
- Repository for Koopman based learning and nonlinear control☆38Updated 2 years ago
- Code for CDC2022 submission☆11Updated this week
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 4 years ago
- Tube-certified nonlinear tracking with robust control contraction metrics☆24Updated last year
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆12Updated last year
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- All the code needed to learn models from data using Koopman operator approach.☆10Updated 5 years ago
- Model-based Control using Koopman Operators☆51Updated 4 years ago
- Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆13Updated 2 months ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆42Updated 3 years ago
- ☆17Updated 4 years ago
- Data Driven Reachability Analysis from Noisy Data☆26Updated 10 months ago
- Learning-Based Efficient Approximation of Data-enabled Predictive Control☆10Updated 10 months ago
- Adaptive control-oriented meta-learning for nonlinear systems☆60Updated 3 years ago
- Primal-Dual Policy Learning Simple Example☆14Updated 3 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆13Updated last year
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year
- ☆22Updated 3 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- ☆65Updated 6 years ago
- ☆16Updated 4 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆61Updated last year
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year