"Safety-Critical Control using Optimal-decay Control Barrier Functions with Guaranteed Point-wise Feasibility" by J. Zeng, B. Zhang, Z. Li and K. Sreenath https://arxiv.org/pdf/2103.12375.pdf
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Updated
May 23, 2021 - MATLAB
"Safety-Critical Control using Optimal-decay Control Barrier Functions with Guaranteed Point-wise Feasibility" by J. Zeng, B. Zhang, Z. Li and K. Sreenath https://arxiv.org/pdf/2103.12375.pdf
A simulation of a steam boiler and its functionalities. Includes levels of redundancies in preparation for potential failures.
"Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function" by J. Zeng, B. Zhang and K. Sreenath https://arxiv.org/abs/2007.11718
This extended Eigen C++ template library and wrapper provide a malloc-free Moore-Penrose pseudoinverse solver.
Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
Safety Critical Control of Autonomous Vehicles by Control Barrier Functions
Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
Implementation of the Heatmap-based Unsupervised Debugging of DNNs (HUDD) toolset
This repository is part of EU-funded Research Project (XANDAR)
On the forward invariance of Neural ODEs: performance guarantees for policy learning
List of NSO Pegasus's C2C Servers where will be used to control Pegasus.
Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.
STM32 project & C++ library 🛰️
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
Real Time Safety Heap Allocator
Safe robot learning
An LLM-based game and thought experiment about a world where information is truly free. Including your information! It's Information Anarchy!
ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models
Constant-complexity deterministic memory allocator (heap) for hard real-time high-integrity embedded systems. There is very little activity because the project is finished and does not require further changes.
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