Technological Concepts and Mathematical Models in the Evolution of Modern Engineering Systems : Controlling, Managing, Organizing (2004. XVII, 246 p. w. figs. 24 cm)

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Technological Concepts and Mathematical Models in the Evolution of Modern Engineering Systems : Controlling, Managing, Organizing (2004. XVII, 246 p. w. figs. 24 cm)

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  • 製本 Hardcover:ハードカバー版/ページ数 350 p.
  • 商品コード 9783764369408

Full Description


This collection of historical research studies covers the evolution of technology as knowledge, the emergence of an autonomous engineering science in the Industrial Age, the idea of scientific managment of production and operation systems, and the interaction between mathematical models and technological concepts.The book is published with the support of the UNESCO Venice Office - Regional Office for Science & Technology in Europe as an activity of the Project: The evolution of events, concepts and models in engineering systems.

Table of Contents

Introduction (M. Lucertini, A. Mill疣 Gasca, F.    viii
Nicol 
1 Technology as Knowledge: The Case of Modern viii
Engineering Systems
2 Scientific Planning and Control: From
Manufacturing to Organizational Systems ix
3 The Interaction Between Mathematical Models xi
and Technological Concepts in 20th Century
Technology
Part I Mathematical Methods and Technological
Thought: Historical Aspects
1 Mathematical Methods in Preindustrial
Technology and Machines
(Eberhard Knobloch) 3 (1)
1.1 Renaissance Architects-Engineers 4 (5)
1.2 Steps Towards Scientific Technology and 9 (3)
Technical Mechanics
1.3 The Achievements of Leonardo da Vinci 12 (3)
1.4 Engineers of the 16th century 15 (6)
2 Organization and Mathematics: A Look into
the Prehistory of Industrial Engineering
(Ana Mill疣 Gasca) 21 (1)
2.1 A New Branch of Engineering Science 22 (6)
2.2 Quantitative Studies and Labour and 28 (4)
Production Organization: The Early Attempts
between the 18th and 19th Centuries
2.3 Rationality and Mathematization 32 (6)
2.4 Measurement Mathematical and 38 (3)
Techniques: The Birth of Industrial
Engineering
2.5 A Fresh Start: The Birth of Operations 41 (11)
Research
3 Technological Innovation and New
Mathematics: van der Pol and the Birth of
Nonlinear Dynamics
(Giorgio Israel) 52 (1)
3.1 Radio Waves and Mathematical Modeling 52 (2)
3.2 From Radio to Limit Cycles 54 (9)
3.3 The Contribution of the Soviet School 63 (3)
3.4 The Heartbeat "Model" 66 (6)
3.5 Concluding Remarks 72 (5)
Appendix: Two Unpublished Letters Written by 77 (2)
Balthasar van der Pol to Vito Volterra
4 Trasferring Formal and Mathematical Tools
from War Management to Political,
Technological, and Social Intervention
(1940-1960)
(Amy Dahan and Dominique Pestre) 79 (1)
4.1 Operational Research and 80 (3)
Mathematicians' Mobilization in World War II
4.2 Mathematical Tools for Managing Social 83 (3)
and/or Complex Systems
4.3 An Emblematic Site for the Deployment 86 (3)
of these Tools: The RAND Corporation
4.4 On a Few Characters of these New 89 (3)
Scientific Modes
4.5 Three Short Remarks as Way of Conclusion 92 (11)
Part II Technological Knowledge and
Mathematical Models in the Analysis, Planning,
and Control of Modern Engineering Systems
5 Technological Concepts and Mathematical
Models in the Evolution of Control Engineering
(Stuart Bennett) 103 (1)
5.1 Regulators and Servomechanism 103 (1)
5.2 Models in Control Engineering 104 (4)
5.3 Model Representations 108 (2)
5.4 Determination of Stability of a System 110 (2)
5.5 External Models: Impulse and Frequency 112 (5)
Response
5.6 Stochastic and Sampled-Data Signals 117 (2)
5.7 State Space Models and Optimal Control 119 (2)
5.8 System Identification 121 (1)
5.9 Conclusion 122 (7)
6 Feedback: A Technique and a "Tool for
Thought"
(Antonio Lepschy and Umberto Viaro) 129 (1)
6.1 Basic Elements of a Feedback Control 129 (2)
System
6.2 Feedback Models of Some Technological 131 (5)
Systems: Were their Inventors Aware of Such
a Structure?
6.3 Feedback Loops in Mathematics and 136 (3)
Computer Science
6.4 The Role of Feedback in Explanatory 139 (14)
Models
6.5 Concluding Remarks 153 (3)
7 Adequacy of Mathematical Models in Control
Theory, Physics, and Environmental Science
(Evgenii F. Mishchenko, Alexandr S. 156 (2)
Mishchenko, and Mikhail I. Zelikin)
7.1 Mathematical Models of Technological 158 (5)
Processes
7.2 Mathematical Modeling of Environmental 163 (9)
Processes: Fluctuations in the Level of the
Caspian Sea
7.3 Mathematical Simulation in the Civil 172 (11)
Engineering Design of the Leningrad Dam
7.4 Mathematical Simulation of Physical 183 (6)
Processes
8 The Development of Systems Science:
Concepts of Knowledge as Seen from the
Western and Eastern Perspective
(Andrzej Wierzbicki) 189 (1)
8.1 Historical Perspective: Hard versus 190 (6)
Soft Systems Science
8.2 Information Civilization: Megatrends 196 (3)
and Challenges
8.3 Diverse Concepts of Knowledge 199 (2)
8.4 The Importance and Typical Forms of 201 (3)
Mathematical Models Expressing Knowledge
8.5 An Example: Computerized Decision 204 (17)
Support Systems
9 Coping With Complexity in the Management of
Organized Systems
(Mario Lucertini) 221 (1)
9.1 Forms of Complexity 222 (2)
9.2 The Forms of Simplification 224 (5)
9.3 Decentralized Management of Complex 229 (3)
Organizations
9.4 Open Systems 232 (7)
Index of Names 239 (7)
Authors 246