Safe Control for Pursuit-Evasion With Density Functions
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 sets, 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.
Authors
- Mario Sznaier (ORCID: https://orcid.org/0000-0003-4439-3988)
- Mustafa Bozdag (ORCID: https://orcid.org/0009-0007-9090-8555)
- Arya Honarpisheh (ORCID: https://orcid.org/0009-0002-3027-9076)
Institutions
- Northeastern University (US)
Publication Details
- Journal
- IEEE Control Systems Letters
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/lcsys.2025.3573252
- Primary Topic
- Guidance and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00