# Dionysos.jl: a Modular Platform for Smart Symbolic Control

arXiv: https://arxiv.org/abs/2404.14114 · HTML: https://mlsanity.com/paper/2404.14114/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Apr 2024.

## Built on by (most cited first, 1 of 1)

- [Efficient Shield Synthesis via State-Space Transformation](https://mlsanity.com/paper/2407.19911/) (2024)

## Abstract (arXiv)

We introduce Dionysos.jl, a modular package for solving optimal control problems for complex dynamical systems using state-of-the-art and experimental techniques from symbolic control, optimization, and learning. More often than not with Cyber-Physical systems, the only sensible way of developing a controller is by discretizing the different variables, thus transforming the control task into a purely combinatorial problem on a finite-state mathematical object, called an abstraction of this system. Although this approach offers a safety-critical framework, the available techniques suffer important scalability issues. In order to render these techniques practical, it is necessary to construct smarter abstractions that differ from classical techniques by partitioning the state-space in a non trivial way.