28 citations · 55 across the 18 of their papers we have counts for
4 papers · 1 filter
Data-driven invariant subspace identification for black-box switched linear systems
Guillaume O. Berger, Raphaël M. Jungers, Zheming Wang
We present an algorithmic framework for the identification of candidate invariant subspaces for switched linear systems. Namely, the framework allows to compute an orthonormal basi…
Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions
Adrien Banse, Zheming Wang, Raphaël M. Jungers
We present a framework based on multiple Lyapunov functions to find probabilistic data-driven guarantees on the stability of unknown constrained switching linear systems (CSLS), wh…
Learning stability guarantees for data-driven constrained switching linear systems
Adrien Banse, Zheming Wang, Raphaël M. Jungers
We consider stability analysis of constrained switching linear systems in which the dynamics is unknown and whose switching signal is constrained by an automaton. We propose a data…
Probabilistic guarantees on the objective value for the scenario approach via sensitivity analysis
Zheming Wang, Raphaël M. Jungers
This paper is concerned with objective value performance of the scenario approach for robust convex optimization. A novel method is proposed to derive probabilistic bounds for the…