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Models for Research and Understanding : Exploring Dynamic Systems, Unconventional Approaches, and Applications / by Stanislaw Raczynski.
- Format:
- Book
- Author/Creator:
- Raczynski, Stanislaw, Author.
- Series:
- Computer Science (SpringerNature-11645)
- Simulation foundations, methods and applications 2195-2825
- Simulation Foundations, Methods and Applications, 2195-2825
- Language:
- English
- Subjects (All):
- Computer simulation.
- System theory.
- Dynamics.
- Engineering design.
- Computer Modelling.
- Complex Systems.
- Dynamical Systems.
- Engineering Design.
- Local Subjects:
- Computer Modelling.
- Complex Systems.
- Dynamical Systems.
- Engineering Design.
- Physical Description:
- 1 online resource (XV, 281 pages) : 141 illustrations, 9 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- 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.
- 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. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-11926-2
- 9783031119262
- Access Restriction:
- Restricted for use by site license.
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