heyinUCB / Stability-Analysis-using-Quadratic-Constraints-for-Systems-with-Neural-Network-Controllers
☆13Updated 2 years ago
Alternatives and similar repositories for Stability-Analysis-using-Quadratic-Constraints-for-Systems-with-Neural-Network-Controllers:
Users that are interested in Stability-Analysis-using-Quadratic-Constraints-for-Systems-with-Neural-Network-Controllers are comparing it to the libraries listed below
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 4 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆60Updated 3 years ago
- Code needed to reproduce the examples in "Data-driven System Level Synthesis" by Anton Xue and Nikolai Matni.☆11Updated 3 years ago
- Segway Simulation Environment☆10Updated 4 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆38Updated 5 years ago
- Primal-Dual Policy Learning Simple Example☆15Updated 3 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆13Updated 2 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆63Updated last year
- Automatic Tuning for Data-driven Model Predictive Control☆62Updated last year
- Continuous-time system identification with neural networks☆25Updated 3 years ago
- ☆70Updated 6 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆31Updated 2 years ago
- Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimizati…☆18Updated 3 weeks ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 3 years ago
- ☆36Updated 2 years ago
- Safe Exploration with MPC and Gaussian process models☆90Updated 4 years ago
- A Toolbox For Polytopic Objects, Operations, and Containment Problems☆22Updated 2 months ago
- DC-TMPC: A tube-based MPC algorithm for systems that can be expressed as a difference of convex functions.☆16Updated 2 years ago
- ☆19Updated 3 months ago
- ☆15Updated 3 years ago
- Minimal package for operations on polytopes, zonotopes, and invariant sets.☆45Updated 4 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆53Updated last year
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆17Updated 3 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated last year
- Boundary analysis based Reachability analysis Toolbox for dynamic systems in Python☆14Updated 8 months ago
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year