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Monday, May 11, 2020 | History

1 edition of Modeling, Design, and Simulation of Systems with Uncertainties found in the catalog.

Modeling, Design, and Simulation of Systems with Uncertainties

Andreas Rauh

Modeling, Design, and Simulation of Systems with Uncertainties

by Andreas Rauh

  • 222 Want to read
  • 10 Currently reading

Published by Springer-Verlag Berlin Heidelberg in Berlin, Heidelberg .
Written in English

    Subjects:
  • Engineering,
  • Software engineering,
  • System theory

  • Edition Notes

    Statementedited by Andreas Rauh, Ekaterina Auer
    SeriesMathematical Engineering -- 3
    ContributionsAuer, Ekaterina, SpringerLink (Online service)
    The Physical Object
    Format[electronic resource] /
    ID Numbers
    Open LibraryOL25545370M
    ISBN 109783642159558, 9783642159565

      Modeling, Design, and Simulation of Systems with Uncertainties covers modern methods for dealing with the challenges presented by imprecise or unavailable information. All contributions tackle the topic from the point of view of control, state and parameter estimation, optimization and : Stephanie Ruddock. Design of Component-Based CGF Modeling Framework. Pages Multirate Output Feedback Based Discrete Integral Sliding Mode Control for System with Uncertainties. Pages Modeling, Design and Simulation of Systems Book Subtitle 17th Asia Simulation Conference, AsiaSim , Melaka, Malaysia, August 27 – 29,

    uncertainties are introduced in model coding and analysis. Some of these uncer-tainties are associated with mathematical representations used in modeling and others are related to the choice of model parameter characterization during imple-mentation. When the model is used in the simulation phase it may produce a significant amount of output. INTRODUCTION TO MODELING AND SIMULATION Anu Maria State University of New York at Binghamton Department of Systems Science and Industrial Engineering Binghamton, NY , U.S.A. ABSTRACT This introductory tutorial is an overview of simulation modeling and analysis. Many critical questions are answered in the paper. What is modeling? What.

      1) Basic Simulation Modeling. 2) Modeling Complex Systems. 3) Simulation Software. 4) Review of Basic Probability and Statistics. 5) Building Valid, Credible, and Appropriately Detailed Simulation Models. 6) Selecting Input Probability Distributions. 7) Random-Number Generators. 8) Generating Random Variates. 9) Output Data Analysis for a. Uncertainties in Modeling & Simulation Prof. Yan Wang Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta, GA , U.S.A.


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Modeling, Design, and Simulation of Systems with Uncertainties by Andreas Rauh Download PDF EPUB FB2

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