Reachability analysis is a powerful tool when it comes to capturing the behaviour, thus verifying the safety, of autonomous systems. However, general-purpose methods, such as Hamilton-Jacobi approaches, suffer from the curse of dimensionality. In this paper, we mitigate this problem for systems of moderate dimension and we propose a new algorithm based on a tree structure approach with geometric pruning. The numerical examples will include a comparison with a standard finite-difference method for linear and nonlinear problems.

A Tree Structure Approach to Reachability Analysis / Alla, A.; M. Dower, P.; Liu, V.. - 32:(2023), pp. 1-21. (Intervento presentato al convegno Hyperbolic equations) [10.1007/978-3-031-29875-2_1].

A Tree Structure Approach to Reachability Analysis

Alla A.;
2023

Abstract

Reachability analysis is a powerful tool when it comes to capturing the behaviour, thus verifying the safety, of autonomous systems. However, general-purpose methods, such as Hamilton-Jacobi approaches, suffer from the curse of dimensionality. In this paper, we mitigate this problem for systems of moderate dimension and we propose a new algorithm based on a tree structure approach with geometric pruning. The numerical examples will include a comparison with a standard finite-difference method for linear and nonlinear problems.
2023
Hyperbolic equations
Convex geometry; Hamilton-Jacobi equations; Optimal control; Reachability analysis; Tree structure
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A Tree Structure Approach to Reachability Analysis / Alla, A.; M. Dower, P.; Liu, V.. - 32:(2023), pp. 1-21. (Intervento presentato al convegno Hyperbolic equations) [10.1007/978-3-031-29875-2_1].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1718173
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