HaojieSHI98 / DeepKoopmanWithControlLinks
Soure code for Deep Koopman with Control
☆99Updated 3 years ago
Alternatives and similar repositories for DeepKoopmanWithControl
Users that are interested in DeepKoopmanWithControl are comparing it to the libraries listed below
Sorting:
- Model-based Control using Koopman Operators☆57Updated 5 years ago
- Repository for Koopman based learning and nonlinear control☆51Updated 3 years ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆82Updated 5 years ago
- ☆79Updated 7 years ago
- ☆27Updated 4 years ago
- ☆15Updated 10 months ago
- MPC with Gaussian Process☆228Updated 6 years ago
- Lyapunov-stable Neural Control for State and Output Feedback☆80Updated last year
- ☆20Updated 5 years ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆175Updated last year
- Develop a Koopman operator based MPC for controlling a quadrotor☆72Updated 3 months ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆87Updated last year
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆139Updated 4 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆133Updated 2 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆171Updated 6 months ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 3 years ago
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆180Updated 2 years ago
- ☆90Updated 2 years ago
- Neural Koopman Lyapunov Control☆26Updated 2 years ago
- Use PyTorch Models with CasADi and Acados☆240Updated 2 years ago
- ☆50Updated last year
- Automatic Tuning for Data-driven Model Predictive Control☆72Updated 2 years ago
- Safe robot learning☆101Updated last year
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆73Updated 2 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆70Updated 4 years ago
- "Safety-Critical Control using Optimal-decay Control Barrier Functions with Guaranteed Point-wise Feasibility" by J. Zeng, B. Zhang, Z. L…☆31Updated 4 years ago
- ☆65Updated last year
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆29Updated 3 years ago
- Hamilton-Jacobi reachability analysis in JAX.☆159Updated last year
- Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling☆13Updated 4 years ago