Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
☆101Jan 6, 2022Updated 4 years ago
Alternatives and similar repositories for DeepSSM_SysID
Users that are interested in DeepSSM_SysID are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Continuous-time system identification with neural networks☆28Jul 12, 2025Updated 9 months ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆66Apr 9, 2025Updated last year
- "CBF-LLM: Safe Control for LLM Alignment"☆12Dec 10, 2024Updated last year
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆32Oct 20, 2022Updated 3 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆58Jul 25, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆49Apr 10, 2026Updated 3 weeks ago
- System identification in PyTorch☆27Mar 31, 2023Updated 3 years ago
- Code accompanying the paper "Learning neural state-space models: do we need a state estimator?"☆10Jun 20, 2023Updated 2 years ago
- This is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆10Oct 1, 2021Updated 4 years ago
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆21Sep 2, 2021Updated 4 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆69Apr 9, 2023Updated 3 years ago
- A nonlinear MPC (NMPC) library for using a neural network as model.☆10Jul 30, 2024Updated last year
- Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.☆12Sep 7, 2022Updated 3 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Sep 18, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code used for the AAAI 2020 paper "System Identification with Time-Aware Neural Sequence Models"☆16Nov 22, 2019Updated 6 years ago
- Deep neural networks for system identification problems. (WIP)☆11Oct 3, 2019Updated 6 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Jun 12, 2022Updated 3 years ago
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆27Sep 24, 2023Updated 2 years ago
- Verifying and synthesizing compatible Control Lyapunov Function (CLF) and Control Barrier Function (CBF)☆25Jun 3, 2025Updated 10 months ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆18Nov 29, 2021Updated 4 years ago
- Code needed to reproduce the examples in "Data-driven System Level Synthesis" by Anton Xue and Nikolai Matni.☆10Feb 8, 2022Updated 4 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆48Jan 3, 2020Updated 6 years ago
- A Python Package For System Identification Using NARMAX Models☆495Apr 4, 2026Updated 3 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆23Dec 30, 2023Updated 2 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Mar 21, 2024Updated 2 years ago
- System Identification with LSTM networks☆14Jul 6, 2023Updated 2 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆20Sep 4, 2023Updated 2 years ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Apr 4, 2024Updated 2 years ago
- A semidefinite programming solver for clustered low-rank SDPs☆15Apr 7, 2026Updated 3 weeks ago
- GLIS package☆33Mar 3, 2023Updated 3 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆15Oct 23, 2023Updated 2 years ago
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆25Sep 9, 2025Updated 7 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆51Nov 15, 2020Updated 5 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆20Jan 11, 2022Updated 4 years ago
- Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)☆47Dec 18, 2021Updated 4 years ago
- ☆20Mar 11, 2026Updated last month
- A PyTorch library for all things nonlinear control and reinforcement learning.☆48Oct 22, 2021Updated 4 years ago
- ☆10Mar 24, 2022Updated 4 years ago
- An efficient solver for nonlinear constrained feedback Stackelberg games☆12Feb 25, 2025Updated last year