System modeling and simulation book pdf
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Modeling and Simulation in Python
Stanislaw Raczynski outlines the considerable and promising research that is being conducted to counter the problems of uncertainty surrounding the methods used to approach these new applications. It aims to stimulate the reader into seeking out new tools for modelling and simulation. Modelling and Simulation: The Computer Science of Illusion will appeal to academics, postgraduate students, researchers and practitioners in the modelling and simulation of industrial computer systems. It will also be of interest to those using simulation as an auxiliary tool. If you do not receive an email within 10 minutes, your email address may not be registered, and you may need to create a new Wiley Online Library account. If the address matches an existing account you will receive an email with instructions to retrieve your username.
A model model is a simplified representation of a system at some particular point in time or space intended to promote understanding of the real system. As an abstraction of a system system , it offers insight about one or more of the system's aspects, such as its function function , structure structure , properties, performance, behavior behavior , or cost cost. The modeling of systems as holistic holistic , value value -providing entities has been gaining recognition as a central process of systems engineering systems engineering. The use of modeling and simulation during the early stages of the system design of complex systems and architectures can:. Modeling and analysis can complement testing and evaluation which occur later in the life cycle. In some systems, modeling and simulation may be the only way to fully evaluate performance e.
In the computer application of " Modeling and simulation" a computer is used to build a mathematical model which contains key parameters of the physical model. The mathematical model represents the physical model in virtual form, and conditions are applied that set up the experiment of interest. The simulation starts — i. Simulation technology belongs to the tool set of engineers of all application domains and has been included in the body of knowledge of engineering management. Because the results of a simulation are only as good as the underlying model s , engineers, operators, and analysts must pay particular attention to its construction. To ensure that the results of the simulation are applicable to the real world, the user must understand the assumptions, conceptualizations, and constraints of its implementation.