This article begins with an introduction to the modeling of discrete event systems, a class of
dynamical systems with discrete states and event-driven dynamics. It then focuses on logical …

There is a growing interest in Industry and Academia in large scale composite systems
where a number of physical processes are interfaced with intelligent units that control them …

Model-based development is an important paradigm for developing cyber-physical systems
(CPS). The underlying assumption is that the functional behavior of a model is related to the …

Modern cyber-physical systems (CPS) are often developed in a model-based development
(MBD) paradigm. The MBD paradigm involves the construction of different kinds of …

Continuous invariants are an important component in deductive verification of hybrid and
continuous systems. Just like discrete invariants are used to reason about correctness in …

We illustrate the ingredients of the state-of-the-art of model-based approach for the formal
design and verification of cyber-physical systems. To capture the interaction between a …

The benefits of Hybrid Simulation (HS) are well recorded in academic literature. It offers
deeper insights into the real-life system as it allows modelers to assess its inherent problems …

We consider the problem of extracting safe environments and controllers for reach-avoid
objectives for systems with known state and control spaces, but unknown dynamics. In a …

Insulin is a peptide hormone produced by the pancreas to regulate the cells intake of
glucose in the blood. Type 1 diabetes compromises this particular capacity of the pancreas …

We introduce a framework for analyzing ordinary differential equation (ODE) models of
biological networks using statistical model checking (SMC). A key aspect of our work is the …