Randomized Algorithms for Analysis and Control of Uncertain Systems by Roberto TempoRandomized Algorithms for Analysis and Control of Uncertain Systems by Roberto Tempo

Randomized Algorithms for Analysis and Control of Uncertain Systems

byRoberto Tempo

Paperback | October 19, 2010

Pricing and Purchase Info

$102.26 online 
$110.50 list price save 7%
Earn 511 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

The presence of uncertainty in a system description has always been a critical issue in control. Moving on from earlier stochastic and robust control paradigms, the main objective of this book is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of uncertain systems. Using so-called "randomized algorithms", this emerging area of research guarantees a reduction in the computational complexity of classical robust control algorithms and in the conservativeness of methods likeH-infinity control.

Features:

• self-contained treatment explaining randomized algorithms from their genesis in the principles of probability theory to their use for robust analysis and controller synthesis;

• comprehensive treatment of sample generation, including consideration of the difficulties involved in obtaining independent and identically distributed samples;

• applications of randomized algorithms in congestion control of high-speed communications networks and the stability of quantized sampled-data systems.

Randomized Algorithms for Analysis and Control of Uncertain Systemswill be of certain interest to control theorists concerned with robust and optimal control techniques and to all control engineers dealing with system uncertainties.

 

 

The present book is a very timely contribution to the literature. I have no hesitation in asserting that it will remain a widely cited reference work for many years.

M. Vidyasagar

Roberto Tempo is one of the next generation of "top brass" in the control research community. He is currently the director of research at the National Research Council of Italy. Like any leading academic, he has the usual "long-as-your-arm" string of publications, both in refereed journals and at conferences. This is his second book, t...
Loading
Title:Randomized Algorithms for Analysis and Control of Uncertain SystemsFormat:PaperbackDimensions:344 pages, 23.5 × 15.5 × 1.73 inPublished:October 19, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1849968829

ISBN - 13:9781849968829

Look for similar items by category:

Reviews

Table of Contents

Overview.- Elements of Probability Theory.- Uncertain Linear Systems and Robustness.- Linear Robust Control Design.- Some Limits of the Robustness Paradigm.- Probabilistic Methods for Robustness.- Monte Carlo Methods.- Randomized Algorithms in Systems and Control.- Probability Inequalities.- Statistical Learning Theory and Control Design.- Sequential Algorithms for Probabilistic Robust Design.- Sequential Algorithms for LPV Systems.- Scenario Approach for Probabilistic Robust Design.- Random Number and Variate Generation.- Statistical Theory of Radial Random Vectors.- Vector Randomization Methods.- Statistical Theory of Radial Random Matrices.- Matrix Randomization Methods.- Applications of Randomized Algorithms.

Editorial Reviews

From the reviews:In summary, this book provides an excellent survey of how randomization techniques are successfully applicable for advanced robust control... The style of writing renders it very well accessible for final year Master's students with a solid background in robust control, and for the whole control community it constitutes an excellent up-to-date foundation for entering research on probabilistic techniques.Automatica 41 (2005) 2001 - 2017 (Reviewer: Carsten Scherer) I believe that this book is a very good tool for introducing both control practioners and graduate students to the area of probabilistic robustness. An overview of basis results in both control and probability is provided. Moreover, it describes many of the recent results in the area of probabilistic robustness.Summarizing, in this book, the area of probabilistic robustness is for the first time introduced in a sympathetic way and it is, in my opinion, a very useful reference for anyone who wants to get acquainted with this area.International Journal of Robust and Nonlinear Control 16 (2006) 728 - 729 (Reviewer: Constantino M. Lagoa) The central theme of the present work is the application of randomized algorithms to various problems in control system analysis and synthesis.. This well-written book can be recommended to readers in control systems analysis and synthesis, especially in robustness analysis and robust controller synthesis.Zentralblatt MATH 1079 (2006) (Reviewer: Kurt Marti)