# Download The Mathematics of Internet Congestion Control (Systems & Control: Foundations & Applications) fb2

**Rayadurgam Srikant**

- Author:Rayadurgam Srikant
- ISBN:0817632271
- ISBN13:978-0817632274
- Genre:
- Publisher:Birkhäuser; 2004 edition (December 12, 2003)
- Pages:164 pages
- Subcategory:Hardware & DIY
- Language:
- FB2 format1597 kb
- ePUB format1579 kb
- DJVU format1253 kb
- Rating:4.6
- Votes:241
- Formats:docx mbr lrf txt

Congestion control algorithms were implemented for the Internet nearly two .

Congestion control algorithms were implemented for the Internet nearly two decades ago, but mathematical models of congestion control in such a large-scale network are relatively ne.

This is an elementary book for graduate students that uses a rich pallet of mathematical tools: convex optimization and control theory (Lyapunov stability and Nyquist criteria and stochastic processes). The book is very well written and will undoubtedly remain a major reference on the topic for years to come. This well-written book presents an overview of the mathematics behind internet congestion control.

Congestion control algorithms were implemented for the Internet nearly two .

Congestion control algorithms were implemented for the Internet nearly two decades ago, but mathematical models of congestion control in such a large-scale are relatively ne. Introduced are tools from optimization, control theory, and stochastic processes integral to the study of congestion control algorithms.

Автор: Srikant Rayadurgam Название: The Mathematics of Internet Congestion Control ISBN .

Автор: Srikant Rayadurgam Название: The Mathematics of Internet Congestion Control ISBN: 0817632271 ISBN-13(EAN): 9780817632274 Издательство: Springer Рейтинг . Описание: Establishing adaptive control as an alternative framework to design and analyze Internet congestion controllers, End-to-End Adaptive Congestion Control in TCP/IP Networks employs a rigorously mathematical approach coupled with a lucid writing style to provide extensive background and introductory material on dynamic systems stability and neural network approximation; alongside future internet requests for congestion control architectures.

from book The Mathematics of Internet Congestion Control (p. 9-66). We consider the class of control systems where the differential equation, state and control system are described by polynomials. Systems & Control: Foundations & Applications. Chapter · January 2004 with 3 Reads. How we measure 'reads'. Given a set of trajectories and a class of Lagrangians, we are interested to find a Lagrangian in this class for which these trajectories are optimal. To model this inverse problem we use a relaxed version of man optimality conditions, in the continuity of previous work in this vein.

Preface Introduction Resource Allocation Congestion Control: A Decentralized Solution . oceedings{Srikant2003TheMO, title {The Mathematics of Internet Congestion Control}, author {R. Srikant}, year {2003} }. R. Srikant.

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This book is devoted to new methods of control for complex dynamical systems and deals with nonlinear control systems having several degrees of freedom, subjected to unknown disturbances, and containing uncertain parameters. Various constraints are imposed on control inputs and state variables or their combinations. The book contains an introduction to the theory of optimal control and the theory of stability of motion, and also a description of some known methods based on these theories. Major attention is given to new methods of control developed by the authors over the last 15 years.

Rayadurgam Srikant, The Mathematics of Internet Congestion Control (Systems and Control: Foundations and .

Rayadurgam Srikant, The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications), SpringerVerlag, 2004.

Introduced are tools from optimization, control theory, and stochastic processes integral to the study of congestion control algorithms.

Bridges mathematics, engineering, and computer science; considers stochastic and optimization aspects of congestion control in Internet data transfers.

Congestion control algorithms were implemented for the Internet nearly two decades ago, but mathematical models of congestion control in such a large-scale are relatively new. This text presents models for the development of new protocols that can help make Internet data transfers virtually loss- and delay-free.

* Recommended by T.Basar, SC series ed.

* This text addresses a new, active area of research and fills a gap in the literature.

* Bridges mathematics, engineering, and computer science; considers stochastic and optimization aspects of congestion control in Internet data transfers.

* Useful as a supplementary text & reference for grad students with some background in control theory; also suitable for researchers.