28 citations · 55 across the 18 of their papers we have counts for
11 papers · 1 filter
Learning stability guarantees for constrained switching linear systems from noisy observations
Adrien Banse, Zheming Wang, Raphaël M. Jungers
We present a data-driven framework based on Lyapunov theory to provide stability guarantees for a family of hybrid systems. In particular, we are interested in the asymptotic stabi…
Learning stability of partially observed switched linear systems
Zheming Wang, Raphaël M. Jungers, Mihály Petreczky +2
This paper deals with learning stability of partially observed switched linear systems under arbitrary switching. Such systems are widely used to describe cyber-physical systems wh…
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…
Data-driven stability analysis of switched affine systems
Matteo Della Rossa, Zheming Wang, Lucas N. Egidio +1
We consider discrete-time switching systems composed of a finite family of affine sub-dynamics. First, we recall existing results and present further analysis on the stability prob…
Computation of invariant sets via immersion for discrete-time nonlinear systems
Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong
In this paper, we propose an approach for computing invariant sets of discrete-time nonlinear systems by lifting the nonlinear dynamics into a higher dimensional linear model. In p…
A data-driven method for computing polyhedral invariant sets of black-box switched linear systems
Zheming Wang, Raphaël M. Jungers
In this paper, we consider the problem of invariant set computation for black-box switched linear systems using merely a finite set of observations of system trajectories. In parti…
Computation of the maximal invariant set of discrete-time linear systems subject to a class of non-convex constraints
Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong
We consider the problem of computing the maximal invariant set of discrete-time linear systems subject to a class of non-convex constraints that admit quadratic relaxations. These…
Data-driven computation of invariant sets of discrete time-invariant black-box systems
Zheming Wang, Raphaël M. Jungers
We consider the problem of computing the maximal invariant set of discrete-time black-box nonlinear systems without analytic dynamical models. Under the assumption that the system…
Speeding up finite-time consensus via minimal polynomial of a weighted graph - a numerical approach
Zheming Wang, Chong Jin Ong
Reaching consensus among states of a multi-agent system is a key requirement for many distributed control/optimization problems. Such a consensus is often achieved using the standa…
Economic MPC of Nonlinear Systems with Non-Monotonic Lyapunov Functions and Its Application to HVAC Control
Zheming Wang, Guoqiang Hu
This paper proposes a Lyapunov-based economic MPC scheme for nonlinear sytems with non-monotonic Lyapunov functions. Relaxed Lyapunov-based constraints are used in the MPC formulat…