Examples and figures throughout make ideas concrete. Other topics include methods for synthesizing hedging and safety stocks, stability theory for networks, and techniques for accelerated simulation. Lyapunov functions and dynamic programming equations lead to the celebrated MaxWeight policy along with many generalizations. 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. This gradual development bridges classical theory with the state of the art. Core chapters assume only prior exposure to stochastic processes and linear algebra at the undergraduate level later chapters are for advanced graduate students and researchers/practitioners.
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. CONTROL TECHNIQUES FOR COMPLEX NETWORKS Power grids, flexible manufacturing, cellular communications: interconnectedness has consequences.
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