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

Raczynski, Stanislaw.

Models for Research and Understanding Exploring Dynamic Systems, Unconventional Approaches, and Applications / [electronic resource] : by Stanislaw Raczynski. - 1st ed. 2022. - XV, 281 p. 141 illus., 9 illus. in color. online resource. - Simulation Foundations, Methods and Applications, 2195-2825 . - Simulation Foundations, Methods and Applications, .

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. .

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.

9783031119262

10.1007/978-3-031-11926-2 doi


Computer simulation.
System theory.
Dynamical systems.
Engineering design.
Computer Modelling.
Complex Systems.
Dynamical Systems.
Engineering Design.

QA76.9.C65

003.3
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