Technological Concepts and Mathematical Models in the Evolution of Modern Engineering Systems: Controlling • Managing • Organizing

Sprednja platnica
Mario Lucertini, Ana Millàn Gasca, Fernando Nicolò
Springer Science & Business Media, 27. nov. 2003 - 246 strani
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.
 

Vsebina

1 Mathematical Methods in Preindustrial Technology and Machines
3
11 Renaissance ArchitectsEngineers
4
12 Steps Towards Scientific Technology and Technical Mechanics
9
13 The Achievements of Leonardo da Vinci
12
14 Engineers of the 16th Century
15
A Look into the Prehistory of Industrial Engineering
21
21 A New Branch of Engineering Science
22
the Early Attempts between the 18th and 19th Centuries
28
56 Stochastic and SampledData Signals
117
57 State Space Models and Optimal Control
119
58 System Identification
121
59 Conclusion
122
A Technique and a Tool for Thought
129
Were their Inventors Aware of Such a Structure?
131
63 Feedback Loops in Mathematics and Computer Science
136
64 The Role of Feedback in Explanatory Models
139

23 Rationality and Mathematization
32
The Birth of Industrial Engineering
38
van der Pol and the Birth of Nonlinear Dynamics
52
32 From Radio to Limit Cycles
54
33 The Contribution of the Soviet School
63
34 The Heartbeat Model
66
35 Concluding Remarks
72
Two Unpublished Letters Written by Balthasar van der Pol to Vito Volterra
77
4 Transferring Formal and Mathematical Tools from War Management to Political Technological and Social Intervention 19401960
79
41 Operational Research and Mathematicians Mobilization in World War II
80
42 Mathematical Tools for Managing Social andor Complex Systems
83
The RAND Corporation
86
44 On a Few Characters of these New Scientific Modes
89
45 Three Short Remarks as Way of Conclusion
92
5 Technological Concepts and Mathematical Models in the Evolution of Control Engineering
103
52 Models in Control Engineering
104
53 Model Representations
108
54 Determination of Stability of a System
110
Impulse and Frequency Response
112
65 Concluding Remarks
153
7 Adequacy of Mathematical Models in Control Theory Physics and Environmental Science
156
71 Mathematical Models of Technological Processes
158
Fluctuations in the Level of the Caspian Sea
163
73 Mathematical Simulation in the Civil Engineering Design of the Leningrad Dam
172
Concepts of Knowledge as Seen from Western and Eastern Perpsective
189
Hard Versus Soft Systems Science
190
Megatrends and Challenges
196
83 Diverse Concepts of Knowledge
199
84 The Importance and Typical Forms of Mathematical Models Expressing Knowledge
201
Computerized Decision Support Systems
204
9 Coping With Complexity in the Management of Organized Systems
221
91 Forms of Complexity
222
93 The Forms of Simplification
224
94 Decentralized Management of Complex Organizations
229
95 Open Systems
232
Index of Names
239
Authors
246
Avtorske pravice

Druge izdaje - Prikaži vse

Pogosti izrazi in povedi

Bibliografski podatki