Description

Book Synopsis

This introductory textbook/reference addresses the fundamental and mostly applied kinds of models. The focus is on models of dynamic systems that move and change over time. However, the work also proposes new methods of uncertainty treatment, offering supporting examples.

Topics and features:

  • Chapters suitable for textbook use in teaching modeling and simulation
  • Includes sections of questions and answers, helpful in didactic work
  • Proposes new methodology in addition to examining conventional approaches
  • Offers some cognitive, more abstract models to give a wider insight on model building

The book’s readership may consist of researchers working on multidisciplinary problems, as well educators and students. It may be used while teaching computer simulation, applied mathematics, system analysis and system dynamics.



Table of Contents
1. Concept of Model.- 2. Continuous System Models.- 3. Differential inclusions, uncertainty and functional sensitivity.- 4. Functional sensitivity applications.- 5. Attainable sets in flight control.- 6. Discrete event models.- 7. Self-organization, dynamics and agent-based model .- 8. The space of models, semi-discrete events with fuzzy logic.- 9. Models and categories.- 10. Fuzzy time instants and time model.- 11. Reversibility and the 5th dimension.- 12. Modeling, simulation and optimization.

Models for Research and Understanding: Exploring Dynamic Systems, Unconventional Approaches, and Applications

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    A Hardback by Stanislaw Raczynski

    £999.99

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      Book details

      Publisher Springer International Publishing AG
      Published 2 January 2023
      ISBN-13 9783031119255
      978-3031119255
      ISBN-10 3031119258
      Also in:
      Computing Computer modelling and simulation Dictionaries, Reference & Language Cybernetics and systems theory Science & Nature Statistical physics

      Description

      Book Synopsis

      This introductory textbook/reference addresses the fundamental and mostly applied kinds of models. The focus is on models of dynamic systems that move and change over time. However, the work also proposes new methods of uncertainty treatment, offering supporting examples.

      Topics and features:

      • Chapters suitable for textbook use in teaching modeling and simulation
      • Includes sections of questions and answers, helpful in didactic work
      • Proposes new methodology in addition to examining conventional approaches
      • Offers some cognitive, more abstract models to give a wider insight on model building

      The book’s readership may consist of researchers working on multidisciplinary problems, as well educators and students. It may be used while teaching computer simulation, applied mathematics, system analysis and system dynamics.



      Table of Contents
      1. Concept of Model.- 2. Continuous System Models.- 3. Differential inclusions, uncertainty and functional sensitivity.- 4. Functional sensitivity applications.- 5. Attainable sets in flight control.- 6. Discrete event models.- 7. Self-organization, dynamics and agent-based model .- 8. The space of models, semi-discrete events with fuzzy logic.- 9. Models and categories.- 10. Fuzzy time instants and time model.- 11. Reversibility and the 5th dimension.- 12. Modeling, simulation and optimization.

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