System modeling and analysis

foundations of system performance evaluation by Hisashi Kobayashi

Publisher: Pearson Prentice Hall in Upper Saddle River, N.J

Written in English
Cover of: System modeling and analysis | Hisashi Kobayashi
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  • Electronic digital computers -- Evaluation,
  • System analysis,
  • Queuing theory

Edition Notes

StatementHisashi Kobayashi, Brian L. Mark.
ContributionsMark, Brian L. 1969-, Kobayashi, Hisashi.
LC ClassificationsQA76.5 .K578 2008
The Physical Object
Paginationp. cm.
ID Numbers
Open LibraryOL18505364M
ISBN 10013034835X
ISBN 109780130348357
LC Control Number2008005071

Hybrid Systems: Modeling, Analysis and Control John Lygeros, Claire Tomlin, and Shankar Sastry Decem This book provides the definitive guide to the techniques, methods and technologies for electronic systems engineers, embedded systems engineers, and hardware and software engineers to carry out model- based electronic system design, as well as for students of IC systems design.   Amazon McKinsey 7S model illustrates the ways in which seven key elements of businesses can be united to increase effectiveness. According to this model strategy, structure and systems represent hard elements, whereas shared values, skills, style . 14 Chapter 2 / Mathematical Modeling of Control Systems transient-response or frequency-response analysis of single-input,single-output,linear, time-invariant systems, the transfer-function representation may be more convenient than any other. Once a mathematical model of a system is obtained, various analytical.

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Systems Analysis and Modeling presents a fresh, new approach to systems analysis and modeling with a systems science flavor that stimulates systems thinking.

After introducing systems modeling principles, the ensuing wide selection of examples aptly illustrate that anything which changes over time can be modeled as a system. An invaluable tool for engineering students and professionals worldwide, this book explores cutting-edge advances in modeling, simulation, and analysis of distribution systems that can ensure the continued dispersal of safe, reliable energy/5(9).

Simulation Modeling and Analysis provides a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study.

The book strives to make this material understandable by the use of intuition and numerous figures, examples, and by: Instead, both modeling and simulation need to be based on solid theoretical backgrounds of system theories and systems engineering.

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Overall, Introduction to the Modeling and Analysis of Complex Systems offers a novel pedagogical approach to the teaching of complex systems, based on examples and library code that engage students in a tutorial-style learning : Hiroki Sayama.

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Modeling and Analysis of Communicating Systems Book Abstract: Complex communicating computer systems -- computers connected by data networks and in constant communication with their environments -- do not always behave as expected.

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Systems Analysis and Design for Advanced Modeling Methods: Best Practices collects work representing leading research in the area of systems analysis and design practices and methodologies. This Premier Reference Source provides researchers, academicians, and practitioners with a useful overview and related references in the field.

Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications introduces you to a broad array of modeling and simulation issues related to computer networks and systems. It focuses on the theories, tools, applications and uses of modeling and simulation in order to effectively optimize networks.

This book aims to provide insights on new trends in power systems operation and control and to present, in detail, analysis methods of the power system behavior (mainly its dynamics) as well as the mathematical models for the main components of power plants and the control systems implemented in dispatch centers.

Given the DFIG modeling block that has been developed in Chapter 3, the interfacing modeling technique that interconnect the DFIG model with the rest if the system model is described.

The developed model can be used for analysis of system level dynamic phenomena, for example, inter-area oscillations.

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