pnnl / deps_arXiv2020
Differentiable predictive control (DPC) policy optimization examples.
☆52Updated last year
Alternatives and similar repositories for deps_arXiv2020:
Users that are interested in deps_arXiv2020 are comparing it to the libraries listed below
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 4 years ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆18Updated 11 months ago
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆25Updated last year
- Automatic Tuning for Data-driven Model Predictive Control☆62Updated last year
- Model-based Control using Koopman Operators☆52Updated 4 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago
- ☆70Updated 6 years ago
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆20Updated 3 years ago
- Multiple Shooting Model Predictive Control Framework☆15Updated 5 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆60Updated 3 years ago
- Continuous-time system identification with neural networks☆25Updated 3 years ago
- A Python tool for distributed model-based predictive control of energy suppy chains☆15Updated 9 months ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Repository for Koopman based learning and nonlinear control☆39Updated 2 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆87Updated 4 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 4 years ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 3 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 2 years ago
- ☆15Updated last month
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated last year
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆27Updated 2 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆54Updated last month
- Algorithms for implementation the Explicit MPC using the multi-parametric quadratic programming.☆22Updated 3 years ago
- ☆22Updated 3 years ago
- Neural Networks with CasADi☆10Updated 2 weeks ago
- heyinUCB / Stability-Analysis-using-Quadratic-Constraints-for-Systems-with-Neural-Network-Controllers☆13Updated 2 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆98Updated last year