𝔖 Scriptorium
✦   LIBER   ✦

📁

Discrete-Event Modeling and Simulation: Theory and Applications (Computational Analysis, Synthesis, and Design of Dynamic Systems)

✍ Scribed by Gabriel A. Wainer, Pieter J. Mosterman


Publisher
CRC Press
Year
2010
Tongue
English
Leaves
517
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Collecting the work of the foremost scientists in the field, Discrete-Event Modeling and Simulation: Theory and Applications presents the state of the art in modeling discrete-event systems using the discrete-event system specification (DEVS) approach. It introduces the latest advances, recent extensions of formal techniques, and real-world examples of various applications. The book covers many topics that pertain to several layers of the modeling and simulation architecture. It discusses DEVS model development support and the interaction of DEVS with other methodologies. It describes different forms of simulation supported by DEVS, the use of real-time DEVS simulation, the relationship between DEVS and graph transformation, the influence of DEVS variants on simulation performance, and interoperability and composability with emphasis on DEVS standardization. The text also examines extensions to DEVS, new formalisms, and abstractions of DEVS models as well as the theory and analysis behind real-world system identification and control. To support the generation and search of optimal models of a system, a framework is developed based on the system entity structure and its transformation to DEVS simulation models. In addition, the book explores numerous interesting examples that illustrate the use of DEVS to build successful applications, including optical network-on-chip, construction/building design, process control, workflow systems, and environmental models. A one-stop resource on advances in DEVS theory, applications, and methodology, this volume offers a sampling of the best research in the area, a broad picture of the DEVS landscape, and trend-setting applications enabled by the DEVS approach. It provides the basis for future research discoveries and encourages the development of new applications.

✦ Subjects


Общеобразовательные дисциплины;Моделирование;Имитационное моделирование, СМО;


📜 SIMILAR VOLUMES


Model-Based Design for Embedded Systems
✍ Gabriela Nicolescu, Pieter J. Mosterman 📂 Library 📅 2009 🌐 English

The demands of increasingly complex embedded systems and associated performance computations have resulted in the development of heterogeneous computing architectures that often integrate several types of processors, analog and digital electronic components, and mechanical and optical components—all

Modeling and Simulation of Discrete Even
✍ Byoung Kyu Choi, DongHun Kang 📂 Library 📅 2013 🏛 Wiley 🌐 English

<p>Computer modeling and simulation (M&S) allows engineers to study and analyze complex systems. Discrete-event system (DES)-M&S is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-M&S tools become more pow

Modeling and Simulation of Discrete Even
✍ Byoung Kyu Choi, DongHun Kang 📂 Library 📅 2013 🏛 Wiley 🌐 English

<p>Computer modeling and simulation (M&S) allows engineers to study and analyze complex systems. Discrete-event system (DES)-M&S is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-M&S tools become more pow

Modeling and simulation of discrete-even
✍ Byoung Kyu Choi; Donghun Kang 📂 Library 📅 2013 🏛 Wiley 🌐 English

Computer modeling and simulation (M & S) allows engineers to study and analyze complex systems. Discrete-event system (DES)-M & S is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-M & S tools become more

Discrete-Event Simulation: Modeling, Pro
✍ George S. Fishman (auth.) 📂 Library 📅 2001 🏛 Springer-Verlag New York 🌐 English

<p>Discrete-event simulation consists of a collection of techniques that when applied to a discrete-event dynamical system, generates sequences called sample paths that characterize its behavior. The collection includes modelling concepts for abstracting the essential features of a system, using spe