heyinUCB / Stability-Analysis-using-Quadratic-Constraints-for-Systems-with-Neural-Network-ControllersLinks
☆13Updated 3 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
Sorting:
- Primal-Dual Policy Learning Simple Example☆15Updated 4 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 5 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆27Updated 3 years ago
- ☆73Updated 7 years ago
- LAMPOS, a strategy-based solution approach for mp-MILPs for real-time mixed-integer MPC with sub-optimality quantification☆10Updated 2 years ago
- Code needed to reproduce the examples in "Data-driven System Level Synthesis" by Anton Xue and Nikolai Matni.☆11Updated 3 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆33Updated 2 years ago
- Multiple shooting for computationally efficient train trajectory optimization☆21Updated last year
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- Segway Simulation Environment☆11Updated 4 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆56Updated 2 years ago
- Data Driven Reachability Analysis from Noisy Data☆31Updated last year
- Adaptive control-oriented meta-learning for nonlinear systems☆66Updated 4 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆23Updated 2 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆48Updated 4 years ago
- Continuous-time system identification with neural networks☆27Updated 2 months ago
- ☆20Updated 8 months ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆19Updated 3 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆65Updated 2 years ago
- [Applied Energy] This work proposes an Input Convex LSTM neural network for real-time neural network-based optimization.☆16Updated 5 months ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 4 years ago
- RobustStabilityGuaranteeRL☆10Updated 6 years ago
- Suite of Predictive Controllers for Industrial Embedded Systems. A Matlab toolbox for automatic code generation of solvers for MPC contro…☆18Updated this week
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- Neural Koopman Lyapunov Control☆25Updated 2 years ago
- Synthesis of control barrier functions with SOS☆14Updated 2 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆78Updated 11 months ago