Control Techniques for Complex Networks

Inbunden, Engelska, 2007

1 292 kr

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Beskrivning

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. Core chapters assume only exposure to stochastic processes and linear algebra at 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 at the heart 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 are available on a companion website.

Produktinformation

Utgivningsdatum:2007-12-10
Mått:183 x 260 x 33 mm
Vikt:1 166 g
Format:Inbunden
Språk:Engelska
Antal sidor:582
Förlag:Cambridge University Press
ISBN:9780521884419

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik

Mer om författaren

Sean Meyn is professor of electrical and computer engineering at the University of Illinois, and a fellow of the IEEE. He is co-author with Richard Tweedie of Markov Chains and Stochastic Stability, which received the 1994 ORSA/TIMS Best Publication in Applied Probability Award.

Recensioner i media

'Sean Meyn's text is a wonderful piece of work … It progresses through a series of important topics, running the gamut from modern control techniques for queuing system analysis, to optimization of deterministic network models, to computer simulation methods; and all the while, it provides rigorous mathematical foundations alongside a variety of clever, practical applications. The lively writing style and apt examples keep everything interesting, and I believe that readers will greatly appreciate and benefit from this unique book.' David M. Goldsman, Georgia Institute of Technology

Innehållsförteckning

Preface; 1. Introduction; Part I. Modeling and Control: 2. Examples; 3. The single-server queue; 4. Scheduling; Part II. Workload: 5. Workload and scheduling; 6. Routing and resource pooling; 7. Demand; Part III. Stability and Performance: 8. Foster-Lyapunov techniques; 9. Optimization; 10. ODE methods; 11. Simulation and learning; Appendix. Markov models; References; Index.