The book covers the necessary pre-requisites from probability theory, stochastic processes, stochastic integrals and stochastic differential equations. It includes detailed treatment of the fundamental properties of stochastic systems subjected both to multiplicative white noise and to jump Markovia
Technological Concepts and Mathematical Models in the Evolution of Modern Engineering Systems: Controlling • Managing • Organizing
✍ Scribed by Eberhard Knobloch (auth.), Dr. Ana Millán Gasca, Prof. Mario Lucertini, Prof. Fernando Nicolò (eds.)
- Publisher
- Birkhäuser Basel
- Year
- 2004
- Tongue
- English
- Leaves
- 259
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
M. LUCERTINI, A. MILLAN GASCA, AND F. NICOLO 1 Technology as Knowledge: The Case of Modern Engineering Systems In recent years scholars coming from the fields of history and philosophy of sci ence and technology have devoted much attention to the problem of "technology as knowledge" and to the emergence of an autonomous engineering science in the Industrial Agel. This interest echoes a growing awareness among engineers of the independence of their conceptual approach with respect to other forms of knowl edge, linked to the consolidation of autonomous academic engineering research in th the 20 century. A careful examination of the nature of technological knowledge appears particularly valuable in view of the pervasive presence of technology in contemporary life and culture, not only as a result of its impressive achievements, but through the less obvious influence of its concepts and viewpoints as well. The activity of engineers and technicians has been traditionally based on the practical ability to cope with specific situations and to attain the corresponding specific goal by means of the design and realization of an artifact or structure, on the basis of past experience handed down by tradition and applied by means of trial-and-error and rule-of-thumb procedures. But the existence of a theoreti cal background and of principles underpinning this activity can be traced back to classical antiquity.
✦ Table of Contents
Front Matter....Pages I-XVII
Front Matter....Pages 1-1
Mathematical Methods in Preindustrial Technology and Machines....Pages 3-20
Organization and Mathematics: A Look into the Prehistory of Industrial Engineering....Pages 21-51
Technological Innovation and New Mathematics: van der Pol and the Birth of Nonlinear Dynamics....Pages 52-77
Transferring Formal and Mathematical Tools from War Management to Political, Technological, and Social Intervention (1940-1960)....Pages 79-100
Front Matter....Pages 101-101
Technological Concepts and Mathematical Models in the Evolution of Control Engineering....Pages 103-128
Feedback: A Technique and a “Tool for Thought”....Pages 129-155
Adequacy of Mathematical Models in Control Theory, Physics, and Environmental Science....Pages 156-188
The Development of Systems Science: Concepts of Knowledge as Seen from Western and Eastern Perpsective....Pages 189-220
Coping With Complexity in the Management of Organized Systems....Pages 221-238
Back Matter....Pages 239-246
✦ Subjects
History of Mathematical Sciences; Appl.Mathematics/Computational Methods of Engineering; Theoretical and Applied Mechanics; Mathematics, general
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