BYU-PRISM / Transformer_MPC
☆37Updated last year
Alternatives and similar repositories for Transformer_MPC:
Users that are interested in Transformer_MPC are comparing it to the libraries listed below
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆30Updated 2 years ago
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆33Updated last year
- Differentiable predictive control (DPC) policy optimization examples.☆52Updated last year
- A multipurpose, easy-to-use Model Predictive Control design and simulation code☆17Updated 7 months 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
- A Python tool for distributed model-based predictive control of energy suppy chains☆15Updated 9 months ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆54Updated last month
- Python library that implements DeePC: Data-Enabled Predictive Control☆66Updated 5 months ago
- Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs class…☆84Updated 5 years ago
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆22Updated last year
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆17Updated 3 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated last year
- ☆18Updated 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
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆172Updated last year
- A nonlinear MPC (NMPC) library for using a neural network as model.☆10Updated 7 months 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
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆25Updated last year
- Koopman Reduced-Order Nonlinear Identification and Control☆87Updated 4 years ago
- Control with Deep Reinforcement Learning☆11Updated last year
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆48Updated 2 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 3 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆135Updated last year
- Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm☆22Updated 4 years ago
- ☆23Updated 3 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆31Updated last year
- LSTM_MPC(reactive distillation system)☆11Updated 4 years ago
- AleksandarHaber / Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-☆44Updated last year
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆70Updated 10 months ago