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Author: Anjali Awasthi
Publisher: Elsevier
ISBN: 0323903274
Category : Technology & Engineering
Languages : en
Pages : 250
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Book Description
Advanced Systems Modeling and Simulation explains a wide range of concepts, tools, and techniques for advanced systems modeling and simulation. A simulation is a computer model of a system and almost any phenomenon can be analyzed and described as such in order to gain practical insights into how it works. Increases in computing power as well as ongoing developments in the creation and storage of data have brought simulations into a wider range of application areas, adding significant value and also creating a need for information and advice on how to use these tools in new contexts. Starting with fundamental information on modeling and simulation, this book goes on to provide detailed and practical advice on the most relevant modeling and simulation methods, before exploring case studies from applications in other areas, including transportation, supply chain, manufacturing, and healthcare. Explains the fundamentals of systems modeling, helping a wide range of readers engage with these methods. Provides practical advice on decision-making under uncertainty. Features applications and case studies from a range of industries, including manufacturing, supply chain, transport, and healthcare.
Author: Anjali Awasthi
Publisher: Elsevier
ISBN: 0323903274
Category : Technology & Engineering
Languages : en
Pages : 250
Get Book Here
Book Description
Advanced Systems Modeling and Simulation explains a wide range of concepts, tools, and techniques for advanced systems modeling and simulation. A simulation is a computer model of a system and almost any phenomenon can be analyzed and described as such in order to gain practical insights into how it works. Increases in computing power as well as ongoing developments in the creation and storage of data have brought simulations into a wider range of application areas, adding significant value and also creating a need for information and advice on how to use these tools in new contexts. Starting with fundamental information on modeling and simulation, this book goes on to provide detailed and practical advice on the most relevant modeling and simulation methods, before exploring case studies from applications in other areas, including transportation, supply chain, manufacturing, and healthcare. Explains the fundamentals of systems modeling, helping a wide range of readers engage with these methods. Provides practical advice on decision-making under uncertainty. Features applications and case studies from a range of industries, including manufacturing, supply chain, transport, and healthcare.
Author: Claudius Ptolemaeus
Publisher: Lee & Seshia
ISBN: 1304421066
Category : Computers
Languages : en
Pages : 687
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Book Description
This book is a definitive introduction to models of computation for the design of complex, heterogeneous systems. It has a particular focus on cyber-physical systems, which integrate computing, networking, and physical dynamics. The book captures more than twenty years of experience in the Ptolemy Project at UC Berkeley, which pioneered many design, modeling, and simulation techniques that are now in widespread use. All of the methods covered in the book are realized in the open source Ptolemy II modeling framework and are available for experimentation through links provided in the book. The book is suitable for engineers, scientists, researchers, and managers who wish to understand the rich possibilities offered by modern modeling techniques. The goal of the book is to equip the reader with a breadth of experience that will help in understanding the role that such techniques can play in design.
Author: Andreas Tolk
Publisher: John Wiley & Sons
ISBN: 0470874295
Category : Mathematics
Languages : en
Pages : 932
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Book Description
Explore the military and combat applications of modeling and simulation Engineering Principles of Combat Modeling and Distributed Simulation is the first book of its kind to address the three perspectives that simulation engineers must master for successful military and defense related modeling: the operational view (what needs to be modeled); the conceptual view (how to do combat modeling); and the technical view (how to conduct distributed simulation). Through methods from the fields of operations research, computer science, and engineering, readers are guided through the history, current training practices, and modern methodology related to combat modeling and distributed simulation systems. Comprised of contributions from leading international researchers and practitioners, this book provides a comprehensive overview of the engineering principles and state-of-the-art methods needed to address the many facets of combat modeling and distributed simulation and features the following four sections: Foundations introduces relevant topics and recommended practices, providing the needed basis for understanding the challenges associated with combat modeling and distributed simulation. Combat Modeling focuses on the challenges in human, social, cultural, and behavioral modeling such as the core processes of "move, shoot, look, and communicate" within a synthetic environment and also equips readers with the knowledge to fully understand the related concepts and limitations. Distributed Simulation introduces the main challenges of advanced distributed simulation, outlines the basics of validation and verification, and exhibits how these systems can support the operational environment of the warfighter. Advanced Topics highlights new and developing special topic areas, including mathematical applications fo combat modeling; combat modeling with high-level architecture and base object models; and virtual and interactive digital worlds. Featuring practical examples and applications relevant to industrial and government audiences, Engineering Principles of Combat Modeling and Distributed Simulation is an excellent resource for researchers and practitioners in the fields of operations research, military modeling, simulation, and computer science. Extensively classroom tested, the book is also ideal for courses on modeling and simulation; systems engineering; and combat modeling at the graduate level.
Author: Nicholas M. Karayanakis
Publisher: CRC Press
ISBN: 9780849394799
Category : Technology & Engineering
Languages : en
Pages : 376
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Book Description
Advanced System Modelling and Simulation with Block Diagram Languages explores and describes the use of block languages in dynamic modelling and simulation. The application of block diagrams to dynamic modelling is reviewed, not only in terms of known components and systems, but also in terms of the development of new systems. Methods by which block diagrams clarify the dynamic essence of systems and their components are emphasized throughout the book, and sufficient introductory material is included to elucidate the book's advanced material. Widely used continuous dynamic system simulation (CDSS) languages are analyzed, and their technical features are discussed. This self-contained resource includes a review section on block diagram algebra and applied transfer functions, both of which are important mathematical subjects, relevant to the understanding of continuous dynamic system simulation.
Author: Bernard Zeigler
Publisher: Springer Science & Business Media
ISBN: 1447145704
Category : Computers
Languages : en
Pages : 50
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Book Description
This user’s reference is a companion to the separate book also titled “Guide to Modelling and Simulation of Systems of Systems.” The principal book explicates integrated development environments to support virtual building and testing of systems of systems, covering in some depth the MS4 Modelling EnvironmentTM. This user’s reference provides a quick reference and exposition of the various concepts and functional features covered in that book. The topics in the user’s reference are grouped in alignment with the workflow displayed on the MS4 Modeling EnvironmentTM launch page, under the headings Atomic Models, System Entity Structure, Pruning SES, and Miscellaneous. For each feature, the reference discusses why we use it, when we should use it, and how to use it. Further comments and links to related features are also included.
Author: Granino A. Korn
Publisher: John Wiley & Sons
ISBN: 1118527445
Category : Computers
Languages : en
Pages : 255
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Book Description
A unique, hands-on guide to interactive modeling and simulation of engineering systems This book describes advanced, cutting-edge techniques for dynamic system simulation using the DESIRE modeling/simulation software package. It offers detailed guidance on how to implement the software, providing scientists and engineers with powerful tools for creating simulation scenarios and experiments for such dynamic systems as aerospace vehicles, control systems, or biological systems. Along with two new chapters on neural networks, Advanced Dynamic-System Simulation, Second Edition revamps and updates all the material, clarifying explanations and adding many new examples. A bundled CD contains an industrial-strength version of OPEN DESIRE as well as hundreds of program examples that readers can use in their own experiments. The only book on the market to demonstrate model replication and Monte Carlo simulation of real-world engineering systems, this volume: Presents a newly revised systematic procedure for difference-equation modeling Covers runtime vector compilation for fast model replication on a personal computer Discusses parameter-influence studies, introducing very fast vectorized statistics computation Highlights Monte Carlo studies of the effects of noise and manufacturing tolerances for control-system modeling Demonstrates fast, compact vector models of neural networks for control engineering Features vectorized programs for fuzzy-set controllers, partial differential equations, and agro-ecological modeling Advanced Dynamic-System Simulation, Second Edition is a truly useful resource for researchers and design engineers in control and aerospace engineering, ecology, and agricultural planning. It is also an excellent guide for students using DESIRE.
Author: Stephen L. Campbell
Publisher: Springer
ISBN: 3030048853
Category : Computers
Languages : en
Pages : 447
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Book Description
This book provides a tutorial in the use of Altair Compose and Altair Activate, software packages that provide system modeling and simulation facilities. Advanced system modeling software provide multiple ways of creating models: models can be programmed in specialized languages, graphically constructed as block-diagrams and state machines, or expressed mathematically in equation-based languages. Compose and Activate are introduced in this text in two parts. The first part introduces the multi-language environment of Compose and its use for modeling, simulation and optimization. The second describes the graphical system modeling and optimization with Activate, an open-system environment providing signal-based modeling as well as physical system component-based modeling. Throughout both parts are applied examples from mechanical, biological, and electrical systems, as well as control and signal processing systems. This book will be an invaluable addition with many examples both for those just interested in OML and those doing industrial scale modeling, simulation, and design. All examples are worked using the free basic editions of Activate and Compose that are available.
Author: Frank L. Severence
Publisher: John Wiley & Sons
ISBN: 9788126519606
Category : System analysis
Languages : en
Pages : 496
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Book Description
Market_Desc: Advanced undergraduates/graduates in Electrical/electronic/mechanical Engineering; small possibility in the case of interdisciplinary courses in physical/life sciences, industrial engineering and operations research students (only 4 of the 10 chapters appropriate for last two). About The Book: System Modeling is the describing in mathematical terms any real system. In engineering terms, the systems may be electrical, electronic, industrial, and chemical. Simulation is the mimicking of the operation of a real system that gives information about the system being investigated. The activities of the model consist of events, or inputs and outputs, which are activated at certain points in time and in this way affect the overall state of the system. The simulation approach of analyzing a model is opposed to the analytical approach, where the method of analyzing the system is purely theoretical.
Author: Pascal Cantot
Publisher: John Wiley & Sons
ISBN: 1118616952
Category : Technology & Engineering
Languages : en
Pages : 427
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Book Description
Systems engineering is the design of a complex interconnection of many elements (a system) to maximize a specific measure of system performance. It consists of two parts: modeling, in which each element of the system and its performance criteria are described; and optimization in which adjustable elements are tailored to allow peak performance. Systems engineering is applied to vast numbers of problems in industry and the military. An example of systems engineering at work is the control of the timing of thousands of city traffic lights to maximize traffic flow. The complex and intricate field of electronics and computers is perfectly suited for systems engineering analysis and in turn, advances in communications and computer technology have made more advanced systems engineering problems solvable. Thus, the two areas fed off of one another. This book is a basic introduction to the use of models and methods in the engineering design of systems. It is aimed at students as well as practicing engineers. The concept of the "systems of systems" is discussed extensively, after a critical comparison of the different definitions and a range of various practical illustrations. It also provides key answers as to what a system of systems is and how its complexity can be mastered.
Author: Bernard P. Zeigler
Publisher: Springer
ISBN: 3319641344
Category : Computers
Languages : en
Pages : 400
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Book Description
This easy-to-follow textbook provides an exercise-driven guide to the use of the Discrete Event Systems Specification (DEVS) simulation modeling formalism and the System Entity Structure (SES) simulation model ontology supported with the latest advances in software architecture and design principles, methods, and tools for building and testing virtual Systems of Systems (SoS). The book examines a wide variety of SoS problems, ranging from cloud computing systems to biological systems in agricultural food crops. This enhanced and expanded second edition also features a new chapter on DEVS support for Markov modeling and simulation. Topics and features: provides an extensive set of exercises throughout the text to reinforce the concepts and encourage use of the tools, supported by introduction and summary sections; discusses how the SoS concept and supporting virtual build and test environments can overcome the limitations of current approaches; offers a step-by-step introduction to the DEVS concepts and modeling environment features required to build sophisticated SoS models; describes the capabilities and use of the tools CoSMoS/DEVS-Suite, Virtual Laboratory Environment, and MS4 MeTM; reviews a range of diverse applications, from the development of new satellite design and launch technologies, to surveillance and control in animal epidemiology; examines software/hardware co-design for SoS, and activity concepts that bridge information-level requirements and energy consumption in the implementation; demonstrates how the DEVS formalism supports Markov modeling within an advanced modeling and simulation environment (NEW). This accessible and hands-on textbook/reference provides invaluable practical guidance for graduate students interested in simulation software development and cyber-systems engineering design, as well as for practitioners in these, and related areas.
