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Modeling multi-level systems / Octavian Iordache.

Springer Nature - Springer Physics and Astronomy eBooks 2011 English International Available online

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Format:
Book
Author/Creator:
Iordache, Octavian.
Series:
Understanding Complex Systems, 1860-0832
Understanding complex systems
Language:
English
Subjects (All):
Chaotic behavior in systems.
Stochastic analysis.
Physical Description:
1 online resource (XV, 232 p.)
Edition:
1st ed. 2011.
Place of Publication:
Berlin : Springer, c2011.
Language Note:
English
Summary:
This book is devoted to modeling of multi-level complex systems, a challenging domain for engineers, researchers and entrepreneurs, confronted with the transition from learning and adaptability to evolvability and autonomy for technologies, devices and problem solving methods. Chapter 1 introduces the multi-scale and multi-level systems and highlights their presence in different domains of science and technology. Methodologies as, random systems, non-Archimedean analysis, category theory and specific techniques as model categorification and integrative closure, are presented in chapter 2. Chapters 3 and 4 describe polystochastic models, PSM, and their developments. Categorical formulation of integrative closure offers the general PSM framework which serves as a flexible guideline for a large variety of multi-level modeling problems. Focusing on chemical engineering, pharmaceutical and environmental case studies, the chapters 5 to 8 analyze mixing, turbulent dispersion and entropy production for multi-scale systems. Taking inspiration from systems sciences, chapters 9 to 11 highlight multi-level modeling potentialities in formal concept analysis, existential graphs and evolvable designs of experiments. Case studies refer to separation flow-sheets, pharmaceutical pipeline, drug design and development, reliability management systems, security and failure analysis. Perspectives and integrative points of view are discussed in chapter 12. Autonomous and viable systems, multi-agents, organic and autonomic computing, multi-level informational systems, are revealed as promising domains for future applications. Written for: engineers, researchers, entrepreneurs and students in chemical, pharmaceutical, environmental and systems sciences engineering, and for applied mathematicians.
Contents:
Introduction
Methodological Resources
Conventional PSM frames
New PSM frames.-Mixing in chemical reactors
Compartmental systems
Turbulent mixing
Entropy
Formal concept analysis
Existential graphs
Evolvable designs of experiments
Autonomous systems perspective.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
ISBN:
3-642-17946-0

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