Safe Control for Pursuit-Evasion with Density Functions

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Bozdag, Mustafa, Honarpisheh, Arya, Sznaier, Mario
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866909618819563520
author Bozdag, Mustafa
Honarpisheh, Arya
Sznaier, Mario
author_facet Bozdag, Mustafa
Honarpisheh, Arya
Sznaier, Mario
contents This letter presents a density function based safe control synthesis framework for the pursuit-evasion problem. We extend safety analysis to dynamic unsafe sets by formulating a reach-avoid type pursuit-evasion differential game as a robust safe control problem. Using density functions and semi-algebraic set definitions, we derive sufficient conditions for weak eventuality and evasion, reformulating the problem into a convex sum-of-squares program solvable via standard semidefinite programming solvers. This approach avoids the computational complexity of solving the Hamilton-Jacobi-Isaacs partial differential equation, offering a scalable and efficient framework. Numerical simulations demonstrate the efficacy of the proposed method.
format Preprint
id arxiv_https___arxiv_org_abs_2505_15718
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Safe Control for Pursuit-Evasion with Density Functions
Bozdag, Mustafa
Honarpisheh, Arya
Sznaier, Mario
Optimization and Control
This letter presents a density function based safe control synthesis framework for the pursuit-evasion problem. We extend safety analysis to dynamic unsafe sets by formulating a reach-avoid type pursuit-evasion differential game as a robust safe control problem. Using density functions and semi-algebraic set definitions, we derive sufficient conditions for weak eventuality and evasion, reformulating the problem into a convex sum-of-squares program solvable via standard semidefinite programming solvers. This approach avoids the computational complexity of solving the Hamilton-Jacobi-Isaacs partial differential equation, offering a scalable and efficient framework. Numerical simulations demonstrate the efficacy of the proposed method.
title Safe Control for Pursuit-Evasion with Density Functions
topic Optimization and Control
url https://arxiv.org/abs/2505.15718