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:
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 5 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Primal-Dual Policy Learning Simple Example☆15Updated 4 years ago
- Safe Exploration with MPC and Gaussian process models☆88Updated 5 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Continuous-time system identification with neural networks☆27Updated 4 months ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆84Updated 6 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
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- Data Driven Reachability Analysis from Noisy Data☆34Updated last year
- ☆77Updated 7 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆69Updated 4 years ago
- Segway Simulation Environment☆11Updated 4 years ago
- Code for CDC2022 submission☆11Updated 2 months ago
- Multiple shooting for computationally efficient train trajectory optimization☆21Updated last year
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆49Updated 5 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆24Updated 3 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆59Updated 2 years ago
- Repository for Koopman based learning and nonlinear control☆49Updated 2 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 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!☆34Updated 2 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated 2 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
- 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
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆19Updated 3 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 3 years ago
- Synthesis of control barrier functions with SOS☆15Updated 2 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 5 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆138Updated 4 years ago