Distributed supervisory control is a method to synthesize local controllers in discrete-eventsystems with a systematic observation of the plant. Some works were reported on extending this methodby which local controllers are constructed so that observation properties are preserved from monolithic todistributed supervisory control, in an up-down approach. In this paper, we find circumstances in ...

In this paper the effect of faults in the elements and parts of discrete event systems is investigated. In the occurrence of faults, some states of the system must be changed and some of them must be forbidden. For this goal, different states of these elements are examined and a model for fail-safe behavior of each state is introduced. Replacing new models of the target elements in the prelimin...

We develop a comprehensive simulation model for civilian emergency/disaster responses. In order to incorporate the detailed interactions among various responders and victims, we integrate the agent-based modeling ideas into the discrete-event simulation framework and hybrid several components such as GIS.

Data mining is the process of extracting patterns from data. A main step in this process is referred to as data classification. In this work, we investigate the use of the Cell-DEVS formalism for classifying data. The cells in a Cell-DEVS based grid are individually very simple but together they can represent complex behavior and are capable of self-organization. Three classifier models are imp...

Linguistic modeling of complex irregular systems is helpful for the generation of decision making controls. In the various existing Fuzzy models, proposed by Mamdani, Sugeno, and Tsukamoto, the concepts of the set of membership functions and different Fuzzy logic rules to reason about data were addressed. The time control issues were not discussed in these models. In this paper, a new model is ...

The military is a big user of discrete event simulation models. The use of these models range from training and wargaming their constructive use in important military analyses. In this paper we discuss the uses of military simulation, the issues associated with military simulation to include categorizations of various types of military simulation. We then discuss three particular simulation stu...

Discrete event simulation is an important method to determine the performance and dependability of many systems, including computer and communication networks. Whereas many analytic solution methods require models to conform to certain criteria or produce state spaces no larger than a computer system can manage, simulation has none of these limitations. This is the primary reason that simulatio...

Management and modeling of complex systems is a challenging area of research. One of the approaches to modeling such systems is event driven modeling and management of a complex system. The application of the concept of event to systems modeling has been applied for modeling of discrete systems, of stochastic systems, etc. However, most of the existing modeling approaches use only information a...

As a preliminary overview, this work provides first a broad tutorial on the fluidization of discrete event dynamic models, an efficient technique for dealing with the classical state explosion problem. Even if named as continuous or fluid, the relaxed models obtained are frequently hybrid in a technical sense. Thus, there is plenty of room for using discrete, hybrid and continuous model techniq...

Emergent agents, those agents whose local interactions can cause unexpected global results, require a method of modeling that is both dynamic and structured Petri Nets, a modeling tool developed for dynamic discrete event system of mainly hctional agents, provide this, and have the benefit of being an established tool. We present here the details of the modeling method here and discuss how to i...