Models for Research and Understanding

Exploring Dynamic Systems, Unconventional Approaches, and Applications
 
Edition number: 1st ed. 2022
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
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EUR 64.19
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Product details:

ISBN13:9783031119286
ISBN10:3031119282
Binding:Paperback
No. of pages:281 pages
Size:235x155 mm
Weight:462 g
Language:English
Illustrations: 132 Illustrations, black & white; 9 Illustrations, color
676
Category:
Short description:

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

Aimed primarily at undergraduates, the textbook will also serve graduates and researchers working on multidisciplinary problems. It may be used while teaching computer simulation, applied mathematics, system analysis and system dynamics.

Stanislaw Raczynski is affiliated with the Universidad Panamericana, Engineering Faculty, Mexico City, Mexico.  He also has authored the recent Springer book, Catastrophes and Unexpected Behavior Patterns in Complex Artificial Populations.

Long description:

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.