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Systems Science: Theory, Analysis, Modeling, and Design

Systems Science: Theory, Analysis, Modeling, and Design
Author: George E. Mobus
Publisher: Springer Nature
Total Pages: 821
Release: 2022-03-09
Genre: Science
ISBN: 3030934829

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This book describes a comprehensive approach to applying systems science formally to the deep analysis of a wide variety of complex systems. Detailed ‘how-to’ examples of the three phases (analysis-modeling-design) of systems science are applied to systems of various types (machines, organic (e.g. ecosystem), and supra-organic (e.g. business organizations and government). The complexity of the global system has reached proportions that seriously challenge our abilities to understand the consequences of our use of technology, modification of natural ecosystems, or even how to govern ourselves. For this reason, complex mathematics is eschewed when simpler structures will suffice, allowing the widest possible audience to apply and benefit from the available tools and concepts of systems science in their own work. The book shows, in detail, how to functionally and structurally deconstruct complex systems using a fundamental language of systems. It shows how to capture the discovered details in a structured knowledge base from which abstract models can be derived for simulation. The knowledge base is also shown to be a basis for generating system design specifications for human-built artifacts, or policy recommendations/policy mechanisms for socio-economic-ecological systems management. The book builds on principles and methods found in the authors’ textbook Principles of Systems Science (co-authored with Michael Kalton), but without prerequisites. It will appeal to a broad audience that deals with complex systems every day, from design engineers to economic and ecological systems managers and policymakers.


Principles of Systems Science

Principles of Systems Science
Author: George E. Mobus
Publisher: Springer
Total Pages: 782
Release: 2014-11-10
Genre: Science
ISBN: 1493919202

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This pioneering text provides a comprehensive introduction to systems structure, function, and modeling as applied in all fields of science and engineering. Systems understanding is increasingly recognized as a key to a more holistic education and greater problem solving skills, and is also reflected in the trend toward interdisciplinary approaches to research on complex phenomena. While the concepts and components of systems science will continue to be distributed throughout the various disciplines, undergraduate degree programs in systems science are also being developed, including at the authors’ own institutions. However, the subject is approached, systems science as a basis for understanding the components and drivers of phenomena at all scales should be viewed with the same importance as a traditional liberal arts education. Principles of Systems Science contains many graphs, illustrations, side bars, examples, and problems to enhance understanding. From basic principles of organization, complexity, abstract representations, and behavior (dynamics) to deeper aspects such as the relations between information, knowledge, computation, and system control, to higher order aspects such as auto-organization, emergence and evolution, the book provides an integrated perspective on the comprehensive nature of systems. It ends with practical aspects such as systems analysis, computer modeling, and systems engineering that demonstrate how the knowledge of systems can be used to solve problems in the real world. Each chapter is broken into parts beginning with qualitative descriptions that stand alone for students who have taken intermediate algebra. The second part presents quantitative descriptions that are based on pre-calculus and advanced algebra, providing a more formal treatment for students who have the necessary mathematical background. Numerous examples of systems from every realm of life, including the physical and biological sciences, humanities, social sciences, engineering, pre-med and pre-law, are based on the fundamental systems concepts of boundaries, components as subsystems, processes as flows of materials, energy, and messages, work accomplished, functions performed, hierarchical structures, and more. Understanding these basics enables further understanding both of how systems endure and how they may become increasingly complex and exhibit new properties or characteristics. Serves as a textbook for teaching systems fundamentals in any discipline or for use in an introductory course in systems science degree programs Addresses a wide range of audiences with different levels of mathematical sophistication Includes open-ended questions in special boxes intended to stimulate integrated thinking and class discussion Describes numerous examples of systems in science and society Captures the trend towards interdisciplinary research and problem solving


Performance Modeling and Design of Computer Systems

Performance Modeling and Design of Computer Systems
Author: Mor Harchol-Balter
Publisher: Cambridge University Press
Total Pages: 573
Release: 2013-02-18
Genre: Computers
ISBN: 1107027500

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Written with computer scientists and engineers in mind, this book brings queueing theory decisively back to computer science.


The Engineering Design of Systems

The Engineering Design of Systems
Author: Dennis M. Buede
Publisher: John Wiley & Sons
Total Pages: 584
Release: 2016-02-04
Genre: Technology & Engineering
ISBN: 111902806X

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New for the third edition, chapters on: Complete Exercise of the SE Process, System Science and Analytics and The Value of Systems Engineering The book takes a model-based approach to key systems engineering design activities and introduces methods and models used in the real world. This book is divided into three major parts: (1) Introduction, Overview and Basic Knowledge, (2) Design and Integration Topics, (3) Supplemental Topics. The first part provides an introduction to the issues associated with the engineering of a system. The second part covers the critical material required to understand the major elements needed in the engineering design of any system: requirements, architectures (functional, physical, and allocated), interfaces, and qualification. The final part reviews methods for data, process, and behavior modeling, decision analysis, system science and analytics, and the value of systems engineering. Chapter 1 has been rewritten to integrate the new chapters and updates were made throughout the original chapters. Provides an overview of modeling, modeling methods associated with SysML, and IDEF0 Includes a new Chapter 12 that provides a comprehensive review of the topics discussed in Chapters 6 through 11 via a simple system – an automated soda machine Features a new Chapter 15 that reviews General System Theory, systems science, natural systems, cybernetics, systems thinking, quantitative characterization of systems, system dynamics, constraint theory, and Fermi problems and guesstimation Includes a new Chapter 16 on the value of systems engineering with five primary value propositions: systems as a goal-seeking system, systems engineering as a communications interface, systems engineering to avert showstoppers, systems engineering to find and fix errors, and systems engineering as risk mitigation The Engineering Design of Systems: Models and Methods, Third Edition is designed to be an introductory reference for professionals as well as a textbook for senior undergraduate and graduate students in systems engineering.


System Analysis in Engineering and Control

System Analysis in Engineering and Control
Author: Yuriy S. Vasiliev
Publisher: Springer Nature
Total Pages: 619
Release: 2022-04-16
Genre: Technology & Engineering
ISBN: 3030988325

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This book covers the results of research that has been obtained during the last decades by scholars representing several scientific schools working in the field of theory of systems and system analysis. In the book chapters, attention is paid to the development of the general theory of systems’ provisions, approaches, models, and methods of system analysis; such as the concepts of an open system and adaptive systems; the concepts of “the movable equilibrium” and “disequilibrium”, the approach of “growing” the system and its developing through innovations; the system-target approach, systems’ regularities; ontological, cognitive and logical-linguistic models of systems, etc. The book includes parts devoted to the general theoretical and philosophical-methodological problems of systems theory; methods and models of system analysis; innovation technologies in technical and socioeconomic systems; system analyses in the educational process, and higher education management. The materials of the book may be of interest to researchers and specialists working in the field of systems analysis, engineering, computer technologies, including human–computer interaction in socio-technical systems; for the representatives of the academic and engineering society.


Modeling Multi-Level Systems

Modeling Multi-Level Systems
Author: Octavian Iordache
Publisher: Springer
Total Pages: 244
Release: 2011-02-05
Genre: Technology & Engineering
ISBN: 3642179460

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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.


Systems Engineering

Systems Engineering
Author: Emmanuel Hygounenc
Publisher: John Wiley & Sons
Total Pages: 356
Release: 2024-07-23
Genre: Technology & Engineering
ISBN: 1789451086

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This book is intended for students, teachers, researchers, engineers and project managers wishing to understand and implement systems engineering into their work. Based on numerous bibliographical sources, it provides coherent and accessible information, complemented with numerous illustrations. Systems Engineering will enable the reader to not only understand but also master the development cycle of a system, as well as gain an in-depth understanding of the associated terminology. An introduction to systems theory is presented first, clarifying what is meant by a complex system. The book then outlines systems engineering and one of its components: requirements engineering. A detailed presentation of the downhill activities of the development cycle follows the definition of requirements and the design of systems. Finally, the book explores the upstream activities of the development cycle with the virtual and concrete integration of the system.


Analysis of Water Resource Systems

Analysis of Water Resource Systems
Author: L. Votruba
Publisher: Elsevier
Total Pages: 455
Release: 1988-09-01
Genre: Technology & Engineering
ISBN: 0080870236

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Water resource systems research provides a basis for rational water management in large basins. The design and operation of water resource systems are both the most complicated and the most important tasks of water management. This book deals with the basic issues involved in the application of systems sciences to water management.A survey of the systems sciences (the general systems theory, cybernetics, systems engineering, operations research and systems analysis) is presented, as well as the methods for water resource systems analysis and for water resource systems analysis and for their evaluation. The mathematical methods used in systems theory have been given detailed treatment. Linear and dynamic programming have been used as models of optimal programming. Since many practical tasks require the simulation models of water resource systems, apart from their principles and a detailed description, the simulation language for computing programming has been included. Other methods of operations research and their application to water resource systems have been analysed and evaluated. Some of these are: models of inventory theory, models of queuing theory, graphs, network analysis, and some special methods like the out-of-kilter algorithm, the chance-constrained model and the chance-constrained model combined with the simluation model. One chapter is devoted to information and information systems in water management. The final part of the book deals with prospects for water resource systems development.The book is intended for engineers and decision-makers involved in projects, operation and research. However, it can be used by students in high schools, technical universities and by graduate students. It will serve as an up-to-date source of information about the principles and methodology of water resource analysis and design.


Mathematical Systems Theory I

Mathematical Systems Theory I
Author: Diederich Hinrichsen
Publisher: Springer Science & Business Media
Total Pages: 818
Release: 2011-08-03
Genre: Mathematics
ISBN: 3540441255

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This book presents the mathematical foundations of systems theory in a self-contained, comprehensive, detailed and mathematically rigorous way. It is devoted to the analysis of dynamical systems and combines features of a detailed introductory textbook with that of a reference source. The book contains many examples and figures illustrating the text which help to bring out the intuitive ideas behind the mathematical constructions.


Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization

Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization
Author: Maosheng Zheng
Publisher: Springer Nature
Total Pages: 129
Release: 2024
Genre: Engineering design
ISBN: 9819726611

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Zusammenfassung: This book develops robust design and assessment of product and production from viewpoint of system theory, which is quantized with the introduction of brand new concept of preferable probability and its assessment. It aims to provide a new idea and novel way to robust design and assessment of product and production and relevant problems. Robust design and assessment of product and production is attractive to both customer and producer since the stability and insensitivity of a product's quality to uncontrollable factors reflect its value. Taguchi method has been used to conduct robust design and assessment of product and production for half a century, but its rationality is criticized by statisticians due to its casting of both mean value of a response and its dispersion into one index, which doesn't characterize the issue of simultaneous robust design of above two independent responses sufficiently, so an appropriate approach is needed. The preference or role of a response in the evaluation is indicated by using preferable probability as the unique index. Thus, the rational approach for robust design and assessment of product and production is formulated by means of probabilistic multi-objective optimization, which reveals the simultaneous robust designs of both mean value of a response and its dispersion in manner of joint probability. Besides, defuzzification and fuzzification measurements are involved as preliminary approaches for robust assessment, the latter provides miraculous treatment for the 'target the best' case flexibly