Topic
Modeling and simulation
About: Modeling and simulation is a research topic. Over the lifetime, 10273 publications have been published within this topic receiving 111550 citations.
Papers published on a yearly basis
Papers
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04 Jan 2010TL;DR: A new subsystem-based approach to solve aerospace vehicle energy management issues is described and an advanced modeling and simulation ICD process is established to create an “Energy Optimized Aircraft” that will maximize energy utilization for broad capabilities while minimizing complexity.
Abstract: In this paper, a new subsystem-based approach to solve aerospace vehicle energy management issues is described. The goal of this approach is to create an “Energy Optimized Aircraft” that will maximize energy utilization for broad capabilities while minimizing complexity. To support this goal, an advanced modeling and simulation ICD process is established. This process addresses several of the current challenges facing modeling and simulation of large integrated systems.
83 citations
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83 citations
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01 Jan 2004
TL;DR: Principles of Object-Oriented Modeling and Simulation with Modelica 2.1 introduces the latest methods of object-oriented component-based system modeling and simulation, and provides a tutorial and reference for the latest version of Modelica complete with a comprehensive overview of application model libraries from many domains.
Abstract: A timely introduction to the latest modeling and simulation techniques Object-oriented modeling is a fast-growing area of modeling and simulation that provides a structured, computer-supported way of doing mathematical and equation-based modeling. Modelica is today’s most promising modeling language in that it effectively unifies and generalizes previous object-oriented modeling languages and provides a sound basis for the basic concepts. Principles of Object-Oriented Modeling and Simulation with Modelica 2.1 introduces the latest methods of object-oriented component-based system modeling and simulation, and provides a tutorial and reference for the latest version of Modelica complete with a comprehensive overview of application model libraries from many domains. Executable examples are included from many areas–physics, mechanics, electrical systems, thermodynamics, flow systems, computer science, concurrent and real-time processes, biology, ecology chemistry, economy, etc. Designed for students, researchers, and engineers familiar with basic programming concepts, the text: Introduces the concepts of physical modeling, object-oriented modeling, and component-based modeling Includes both visual and textual modeling/programming Provides a complete yet informal overview of the Modelica language Demonstrates modeling examples for a wide range of applications Acts as a reference guide for the most commonly used Modelica libraries Features the current version of Modelica 2.1 including some anticipated extentions Its flexible format, comprehensive coverage of the field, and practical focus makes Principles of Object-Oriented Modeling and Simulation with Modelica 2.1 an indispensable teaching tool, a timely reference source for modeling and programming with Modelica, and a valuable hands-on guide for doing physical modeling in a broad range of application areas. Visit the book Web pa e www.mathcore.com/drmodelica for samples of executable models, teaching material, interactive tutorials, and recent updates of the book.
83 citations
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TL;DR: Generative simulation modeling of an autonomic manufacturing execution system (@MES) is proposed in order to evaluate emerging behaviors and macroscopic dynamics in a multiproduct batch plant.
82 citations
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TL;DR: Some aspects of what has been accomplished in crowd modeling in this field, from social sciences to the computer implementation of modeling and simulation are discussed, including some of the most common techniques used.
Abstract: In recent years crowd modeling has become increasingly important both in the computer games industry and in emergency simulation. This paper discusses some aspects of what has been accomplished in this field, from social sciences to the computer implementation of modeling and simulation. Problem overview is described including some of the most common techniques used. Multi-Agent Systems is stated as the preferred approach for emergency evacuation simulations. A framework is proposed based on the work of Fangqin and Aizhu with extensions to include some BDI aspects. Future work includes expansion of the model's features and implementation of a prototype for validation of the propose methodology.
82 citations