Modelling and Simulation: Exploring Dynamic System Behaviour by Louis G. Birta

By Louis G. Birta

This textbook offers a realistic creation to the elemental features of modelling and simulation. It presents the mandatory foundations either for these wishing to benefit approximately this technique and in addition in the event you have a necessity to use it of their paintings. Illustrative examples are drawn from initiatives formulated in the domain names of either DEDS and CTDS. beneficial properties: provides a project-oriented point of view; describes an activity-based conceptual modelling framework (ABCmod) for DEDS; encompasses a new bankruptcy that provides a singular international view, the Activity-Object international view, which eases the interpretation of a conceptual version specification within the ABCmod framework right into a simulation software; comprises quite a few illustrative examples, priceless algorithms, workouts and initiatives; encompasses a primer on chance, a concise advisor to the GPSS programming setting and an outline of correct MATLAB positive factors within the appendices; offers supplementary software program and instructing aid fabric at an linked website.

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Yurcik W (2002) Computer architecture simulators are not as good as the real thing – they are better! ACM J Educ Resour Comput 1(4), (guest editorial, special issue on General Computer Architecture Simulators) 14. Zeigler BP, Praehofer H, Kim TG (2000) Theory of modeling and simulation: integrating discrete event and continuous complex dynamic systems, 2nd edn. 1 Some Reflections on Models The use of models as a means of obtaining insight or understanding is by no means novel. One could reasonably claim, for example, that the pivotal studies in geometry carried out by Euclid were motivated by the desire to construct models that would assist in better understanding important aspects of his physical environment.

The vehicles in the gas station model or the ships entering the port in an earlier example. We refer to any such collection of transient entities which flow through the model as an ‘input entity stream’. 4 Constants and Parameters The constants and parameters of a model have much in common. In particular, constants and parameters both serve simply as names for the values of features or properties within a model which remain invariant over the course of any particular 1 By way of defining a discrete event dynamic system, we adapt, with minor modification, the definition of an equivalent notion taken from [17]: A discrete event dynamic system is a system that evolves over time in accordance with the abrupt occurrence, at possibly unknown irregular intervals, of events that may or may not have a physical nature.

More specifically, if |VC| is the magnitude of the velocity vector immediately prior to the collision, then we assume that α |VC| is the magnitude after the collision, where 0 < α < 1. In effect, the two above assumptions provide a specification for the behaviour that characterizes the dynamics of the ball at the point of collision with the ice surface. 2) C þ Here θþ C is the angle of the velocity vector at time TC which is the moment of time that is incrementally beyond the moment of contact, TC.

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