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Control Techniques for Complex Networks
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Binding: Hardcover
Dewey Decimal Number: 004.6
EAN: 9780521884419
Edition: 1
ISBN: 0521884411
Label: Cambridge University Press
Manufacturer: Cambridge University Press
Number Of Items: 1
Number Of Pages: 582
Publication Date: December 10, 2007
Publisher: Cambridge University Press
Studio: Cambridge University Press
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Editorial Review:
Power grids, flexible manufacturing, cellular communications: interconnectedness has consequences. This remarkable book gives the tools and philosophy you need to build network models detailed enough to capture essential dynamics but simple enough to expose the structure of effective control solutions and to clarify analysis. Core chapters assume only exposure to stochastic processes and linear algebra at the undergraduate level; later chapters are for advanced graduate students and researchers/practitioners. This gradual development bridges classical theory with the state-of-the-art. The workload model that is the basis of traditional analysis of the single queue becomes a foundation for workload relaxations used in the treatment of complex networks. Lyapunov functions and dynamic programming equations lead to the celebrated MaxWeight policy along with many generalizations. Other topics include methods for synthesizing hedging and safety stocks, stability theory for networks, and techniques for accelerated simulation. Examples and figures throughout make ideas concrete. Solutions to end-of-chapter exercises available on a companion website.
Power grids, flexible manufacturing, cellular communications: interconnectedness has consequences. This remarkable book gives the tools and philosophy you need to model and control complex networks. Core chapters assume only exposure to stochastic processes and linear algebra at undergraduate level; later chapters are for more advanced graduate students and researchers/practitioners.
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Rating: - Review for CTCN
This book is invaluable for anyone trying to study, model/control networks (for example the internet, biological networks, power grids to name a few). The author has given extensive and very clear coverage to numerous issues related to networked systems e.g. scheduling, optimization, routing and resource pooling, hedging and workload etc. Significant time is also spent on developing theory for stochastic and Markov models. The book also has numerous illustrative examples to demonstrate the theoretical ... Read More
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