eadali / deeplearning-system-identificationLinks
System Identification with LSTM networks
☆13Updated 2 years ago
Alternatives and similar repositories for deeplearning-system-identification
Users that are interested in deeplearning-system-identification are comparing it to the libraries listed below
Sorting:
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆84Updated 6 years ago
- Continuous-time system identification with neural networks☆27Updated 3 months ago
- ☆74Updated 7 years ago
- heyinUCB / Stability-Analysis-using-Quadratic-Constraints-for-Systems-with-Neural-Network-Controllers☆13Updated 3 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 5 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆78Updated last year
- Pytorch Implementation of Deep Kalman Filter☆10Updated 3 weeks ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- Safe Exploration with MPC and Gaussian process models☆88Updated 5 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆151Updated 5 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Primal-Dual Policy Learning Simple Example☆15Updated 4 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 8 years ago
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆22Updated 2 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆69Updated 2 years ago
- Model-based Control using Koopman Operators☆52Updated 5 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆79Updated last year
- Deep neural networks for system identification problems. (WIP)☆11Updated 6 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆65Updated 2 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆122Updated last year
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆48Updated 4 years ago
- Data Driven Reachability Analysis from Noisy Data☆33Updated last year
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆60Updated 2 years ago
- MPC with Gaussian Process☆224Updated 6 years ago
- A Python tool for distributed model-based predictive control of energy suppy chains☆17Updated last year
- Soure code for Deep Koopman with Control☆90Updated 3 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆138Updated 4 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆33Updated 2 years ago
- ☆26Updated 3 years ago
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 5 years ago