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20102023
most citedJuliaReach: a Toolbox for Set-Based Reachability

97 citations · 403 across the 15 of their papers we have counts for

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eess.SY2021★ 35 cited

Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes

Christian Schilling, Marcelo Forets, Sebastian Guadalupe

We study the verification problem for closed-loop dynamical systems with neural-network controllers (NNCS). This problem is commonly reduced to computing the set of reachable state…

eess.SY2020★ 2 cited

Efficient reachability analysis of parametric linear hybrid systems with time-triggered transitions

Marcelo Forets, Daniel Freire, Christian Schilling

Efficiently handling time-triggered and possibly nondeterministic switches for hybrid systems reachability is a challenging task. In this paper we present an approach based on cons…

eess.SY2019★ 11 cited

Reachability analysis of linear hybrid systems via block decomposition

Sergiy Bogomolov, Marcelo Forets, Goran Frehse +2

Reachability analysis aims at identifying states reachable by a system within a given time horizon. This task is known to be computationally expensive for linear hybrid systems. Re…

eess.SY2019★ 97 cited

JuliaReach: a Toolbox for Set-Based Reachability

Sergiy Bogomolov, Marcelo Forets, Goran Frehse +2

We present JuliaReach, a toolbox for set-based reachability analysis of dynamical systems. JuliaReach consists of two main packages: Reachability, containing implementations of rea…

eess.SY2018★ 62 cited

Reach Set Approximation through Decomposition with Low-dimensional Sets and High-dimensional Matrices

Sergiy Bogomolov, Marcelo Forets, Goran Frehse +3

Approximating the set of reachable states of a dynamical system is an algorithmic yet mathematically rigorous way to reason about its safety. Although progress has been made in the…

eess.SY2017★ 8 cited

Occupation measure methods for modelling and analysis of biological hybrid automata

Alexandre Rocca, Marcelo Forets, Victor Magron +2

Mechanistic models in biology often involve numerous parameters about which we do not have direct experimental information. The traditional approach is to fit these parameters usin…