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Control of Complex Systems: Methods and Technology

✍ Scribed by M. Drouin, H. Abou-Kandil, M. Mariton (auth.)


Publisher
Springer US
Year
1991
Tongue
English
Leaves
185
Series
Applied Information Technology
Edition
1
Category
Library

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✦ Synopsis


Since the begining of the sixties, control theorists have developed a large body of knowledge concerning complex or large-scale systems theory. Using the state space approach, their purpose was to extend methods to cope with the increasingly sophisticated automation needs of man-made systems. Despite several remarkable contributions, and some successful applications, it can be stated that this theory has not yet become an engineering tool. On the other hand, the emergence of cheap and reliable microprocessors has profoundly transformed industrial instrumentation and control systems. Process control equipment is organized in multilevel distributed structures, closely related to the concepts introduced by complex systems control theory. This similarity should favor a fruitful intersection for practical applications. However, a gap still exists between the literature on control theory and the world of technological achievements. In the many books on complex systems, few have given attention to the technological aspects of a practical control problem. The present book is an attempt to fill this gap. To do this, it consistently reflects the viewpoints that: - Theory and technology are two indivisible facets of the same problem. -On-line implementation for real time applications is the ultimate goal of a control study.

✦ Table of Contents


Front Matter....Pages i-ix
Complex Control Systems....Pages 1-9
Basic Concepts of Discrete-Time Optimal Control Theory....Pages 11-38
Decomposition-Coordination Methods....Pages 39-62
Application of the Direct Decomposition Method....Pages 63-93
Optimization of the Feedback Loop....Pages 95-129
Process Control Systems....Pages 131-149
The Impact of Technology on Control Methods....Pages 151-178
Back Matter....Pages 179-180

✦ Subjects


Complexity


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