Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Title
Models for research and understanding : exploring dynamic systems, unconventional approaches, and applications / Stanislaw Raczynski.
ISBN
9783031119262 (electronic bk.)
3031119266 (electronic bk.)
3031119258
9783031119255
Published
Cham, Switzerland : Springer, [2022]
Language
English
Description
1 online resource (1 volume) : illustrations (black and white, and colour)
Other Standard Identifiers
10.1007/978-3-031-11926-2 doi
Call Number
QA76.9.C66 R33 2022
Dewey Decimal Classification
003/.3
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Series
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. .
