Stochastic hybrid systems have received significant attentions as a relevant modeling
framework describing many systems, from engineering to the life sciences: they enable the …

The ability to provide succinct information about why a property does, or does not, hold in a
given system is a key feature in the context of formal verification and model checking. It can …

In this paper, we investigate the design of a safe hybrid controller for an aircraft that switches
between a classical linear quadratic regulator (LQR) controller and a more intelligent …

In this paper, we consider the problem of probabilistic stability analysis of a subclass of
Stochastic Hybrid Systems, namely, Polyhedral Probabilistic Hybrid Systems (PPHS), where …

In this paper, we study the probabilistic stability analysis of a subclass of stochastic hybrid
systems, called the Planar Probabilistic Piecewise Constant Derivative Systems (Planar …

We study the problem of verifying parametric properties of linear discrete-time stochastic
systems (linear DTSSs) over bounded and unbounded time horizons. A linear DTSS …

It is" folklore" that the solution to a set reachability problem for a dynamical system is only
noncomputable because of non-robustness reasons. A robustness condition that can be …

We study the problem of safety verification of linear discrete-time stochastic systems (linear
DTSS) over bounded and unbounded time horizons. Linear DTSS capture random …

Micro-scale Cyber-Physical Systems (MCPSs) can be automatically and formally estimated
by probabilistic model checking, on the level of system model MDPs (Markov Decision …