HaojieSHI98 / DeepKoopmanWithControl
Soure code for Deep Koopman with Control
☆69Updated 2 years ago
Alternatives and similar repositories for DeepKoopmanWithControl:
Users that are interested in DeepKoopmanWithControl are comparing it to the libraries listed below
- Model-based Control using Koopman Operators☆51Updated 4 years ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆65Updated 4 years ago
- Repository for Koopman based learning and nonlinear control☆38Updated 2 years ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆70Updated 2 years ago
- ☆17Updated 4 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆61Updated last year
- Neural Koopman Lyapunov Control☆21Updated last year
- ☆22Updated 3 years ago
- ☆64Updated 6 years ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆13Updated last year
- Use deep learning to learn Koopman operator and LQR for optimal control☆15Updated 4 years ago
- Use PyTorch Models with CasADi and Acados☆206Updated last year
- Develop a Koopman operator based MPC for controlling a quadrotor☆48Updated 3 months ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆143Updated 6 months ago
- ☆45Updated last month
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆164Updated last year
- Adaptive control-oriented meta-learning for nonlinear systems☆60Updated 3 years ago
- Implementation of reduced-order optimal control schemes for finite element models of Soft Robots☆27Updated 3 months ago
- Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.☆59Updated 2 years ago
- ☆69Updated 2 months ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆31Updated 2 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆93Updated last year
- ☆15Updated last year
- ☆26Updated 2 years ago
- ☆42Updated 10 months ago
- Automatic Tuning for Data-driven Model Predictive Control☆37Updated last year
- ☆13Updated last year
- Open-source implementation of Deep Lagrangian Networks (DeLaN)☆87Updated 2 months ago
- Papers on Safety Critical Controls using Control Barrier Functions☆30Updated 3 months ago
- Real-time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms☆177Updated last year