In this paper we propose a hybrid system modeling framework aimed at analyzing diagnosability. In this framework, the hybrid system is seen as the composition of an underlying discrete event and an underlying continuous systems. Diagnosability of these two underlying systems are fully analyzed and new results are provided for the underlying continuous system (called the multimode system). Based...

This paper is an overview of the current research on problems involving dynamic sensor activation and communication in discrete-event systems. In problems of sensor activation agents observing a discrete-event system can turn their sensors responsible for detecting observable event occurrences on / off dynamically. In problems of communication agents communicate information such as observed eve...

Computer simulation of a system described by differential equations requires that some element of the system be approximated by discrete quantities. There are two system aspects that can be made discrete; time and state. When time is discrete, the differential equation is approximated by a difference equation (i.e., a discrete time system), and the solution is calculated at fixed points in time...

Models that aim to optimize the design of supply chain networks have gained more interest in the supply chain literature. Mixed-integer linear programming and discrete-event simulation are widely used for such an optimization problem. We present a hybrid approach to support decisions for supply chain network design using a combination of analytical and discrete-event simulation models. The prop...

This paper explores the notion of resilience a fault in DES, as ability to spontaneously return normal behavior, without leaking information about this occurrence an external observer. Resilience expresses some form insensitivity or robustness, related but different from classical notions like diagnosability opacity. Different definitions are examined, expressed terms recovery points language r...