HaojieSHI98 / DeepKoopmanWithControl
Soure code for Deep Koopman with Control
☆67Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeepKoopmanWithControl
- Model-based Control using Koopman Operators☆46Updated 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…☆60Updated 4 years ago
- Repository for Koopman based learning and nonlinear control☆37Updated last year
- Neural Koopman Lyapunov Control☆20Updated last year
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆11Updated last year
- Adaptive control-oriented meta-learning for nonlinear systems☆55Updated 3 years ago
- ☆20Updated 3 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆58Updated last year
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆83Updated last year
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 2 years ago
- Use PyTorch Models with CasADi and Acados☆199Updated last year
- Develop a Koopman operator based MPC for controlling a quadrotor☆42Updated last month
- ☆16Updated 3 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆31Updated last year
- ☆57Updated 6 years ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆138Updated 4 months ago
- Real-time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms☆163Updated last year
- Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.☆55Updated last year
- Papers on Safety Critical Controls using Control Barrier Functions☆18Updated 3 weeks ago
- ☆24Updated 2 years ago
- ☆37Updated 5 months ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆139Updated 10 months ago
- Safe robot learning☆70Updated 2 months ago
- ☆49Updated 2 years ago
- Lyapunov-stable Neural Control for State and Output Feedback☆57Updated 4 months ago
- ☆82Updated last year
- Use deep learning to learn Koopman operator and LQR for optimal control☆15Updated 4 years ago
- Sampling based GP MPC☆14Updated last week
- Implementation of reduced-order optimal control schemes for finite element models of Soft Robots☆26Updated last month
- Safety-aware MPC-based RL framework☆47Updated this week