New PDF release: Control Techniques for Complex Networks

By Sean Meyn

ISBN-10: 0511371020

ISBN-13: 9780511371028

ISBN-10: 0521884411

ISBN-13: 9780521884419

Energy grids, versatile production, mobile communications: interconnectedness has effects. This amazing ebook offers the instruments and philosophy you want to construct community versions particular sufficient to trap crucial dynamics yet uncomplicated sufficient to reveal the constitution of powerful keep watch over suggestions and to explain research. middle chapters suppose basically publicity to stochastic procedures and linear algebra on the undergraduate point; later chapters are for complex graduate scholars and researchers/practitioners. This slow improvement bridges classical conception with the cutting-edge. The workload version that's the foundation of conventional research of the only queue turns into a beginning for workload relaxations utilized in the remedy of advanced networks. Lyapunov features and dynamic programming equations bring about the distinguished MaxWeight coverage besides many generalizations. different issues contain equipment for synthesizing hedging and protection shares, balance thought for networks, and methods for sped up simulation. Examples and figures all through make principles concrete. recommendations to end-of-chapter routines on hand on a significant other site.

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Extra resources for Control Techniques for Complex Networks

Example text

1 Modeling the single server queue The single server queue illustrated in Fig. 1 is a useful model for a range of very different physical systems. The most familiar example is the single-line queue at a bank: Customers arrive to the bank in a random manner, wait until they reach the head of the line, are served according to their needs and the abilities of the teller, and then exit the system. In the single server queue we assume that there is a single line, and only one bank teller. To understand how delays develop in this system we must look at average time requirements of customers and the rate of arrivals to the bank.

And that service and arrival processes are mutually independent. This is known as the GI/G/1 queue. 1. Single server queue. 1 (The GI/G/1 queue). Suppose the following assumptions hold: (i) Customers arrive to the queue at time points T a (0) = 0, T a (1) = E a (1), T a (2) = E a (1) + E a (2), . . where the interarrival times {E a (i) : i ≥ 1}, are independent and identically distributed random variables, distributed as a random variable E a with distribution defined by Ga (−∞, r] = P(E a ≤ r), r ≥ 0.

Since c is assumed linear, the conditional expectation can be expressed E[c(Q(t + 1)) | Q(0), . . , Q(t)] = c E[Q(t + 1) | Q(t) = x] = c, x + BU (t) + α and hence the allocation at time t is given by U (t) ∈ arg min c, x + Bu + α , t ≥ 0, Q(t) = x. , cik µik > cil µil whenever k < l). 12) is known as the c–µ rule for the CRW model. 1. Myopic policies are a theme in this book because they are easily computable, and have attractive properties for an appropriate choice of c. For example, in many cases it is possible to choose the cost function so that the resulting policy is in some sense “universally stabilizing”, and can 34 Examples be implemented based on local information.

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Control Techniques for Complex Networks by Sean Meyn


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