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Lecture 2 - Modeling and Simulation • Model types: ODE, PDE, State Machines, Hybrid • Modeling approaches: – physics based (white box) – input-output models (black box) • Linear systems • Simulation • Modeling uncertainty
The examples in this tutorial are intended to get you started with Plant Simulation. The most important features of Plant Simulation are introduced and used in examples.
Chapters 3 to 5 develop a three - part series of M & S paradigms, starting with Chapter 3 , “ Discrete - Event Simulation, ” Chapter 4 , “ Modeling Continuous Systems, ” and Chapter 5 , “ Monte Carlo Simulation. ” Chapters 6 and 7 develop two areas necessary for model development.
Subject provides an introduction to modeling and simulation. Scientists and engineers have long used models to better understand the system they study, for analysis and quantification, performance prediction and design.
Simulation modeling and analysis is the process of creating and experimenting with a computerized math-ematical model of a physical system. For the purposes of this handbook, a system is defined as a collection of interacting components that receives input and provides output for some purpose.
10 Νοε 2021 · Similarly to the previous two editions, the book is intended as an introductory textbook for a first course in discrete-event simulation modeling and analysis for upper-level undergraduate students as well as entering graduate students.
The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis.
