morim3 / DeepKalmanFilter
Pytorch Implementation of Deep Kalman Filter
☆8Updated last year
Related projects ⓘ
Alternatives and complementary repositories for DeepKalmanFilter
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆37Updated 5 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆42Updated 3 years ago
- ☆57Updated 6 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆57Updated 6 months ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆13Updated last year
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆45Updated last year
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆15Updated 2 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆88Updated 2 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆79Updated last year
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆26Updated last year
- Data-driven Koopman control theory applied to reinforcement learning!☆29Updated last year
- ☆11Updated 9 months ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆15Updated 4 years ago
- Code and example associated with the paper 'Model Predictive Control of Nonlinear Latent Force Models: A Scenario-based Approach' by T. W…☆9Updated 2 years ago
- Model-based Control using Koopman Operators☆46Updated 4 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 3 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆69Updated 7 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆17Updated 4 years ago
- Safe Exploration with MPC and Gaussian process models☆88Updated 4 years ago
- Code for CDC2022 submission☆11Updated 3 months ago
- Pytorch implementation of Model Predictive Control with learned models☆28Updated 4 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆22Updated 2 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆15Updated 2 years ago
- Repository for Koopman based learning and nonlinear control☆37Updated last year
- ☆14Updated 6 years ago
- Continuous-time system identification with neural networks☆24Updated 3 years ago
- All the code needed to learn models from data using Koopman operator approach.☆10Updated 5 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆9Updated last year
- A framework for neural network control of dynamical systems over graphs.☆55Updated 2 years ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆16Updated 2 years ago