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Randomized Algorithms for Systems and Control: Theory and Applications

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Author :
Release : 2008
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Randomized Algorithms for Systems and Control: Theory and Applications by :

Download or read book Randomized Algorithms for Systems and Control: Theory and Applications written by . This book was released on 2008. Available in PDF, EPUB and Kindle. Book excerpt: The main objection of this NATO lecture series is the introduction of rigorous study of randomized algorithms for uncertain systems and control, with specific UAV applications. A Randomized Algorithm (RA) is an algorithm that makes random choices during its execution to produce a result. This briefing covers 1) Probabilistic Robustness Analysis and Synthesis; 2) Sequential Methods for Convex Problems; 3) Non-Sequential Methods; 4) A Posteriori Analysis; 5) RACT; and 6) Systems and Control Applications.

Randomized Algorithms for Analysis and Control of Uncertain Systems

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Release : 2005-09-05
Genre : Computers
Kind : eBook
Book Rating : 524/5 ( reviews)

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Book Synopsis Randomized Algorithms for Analysis and Control of Uncertain Systems by : Roberto Tempo

Download or read book Randomized Algorithms for Analysis and Control of Uncertain Systems written by Roberto Tempo. This book was released on 2005-09-05. Available in PDF, EPUB and Kindle. Book excerpt: Moving on from earlier stochastic and robust control paradigms, this book introduces the fundamentals of probabilistic methods in the analysis and design of uncertain systems. The use of randomized algorithms, guarantees a reduction in the computational complexity of classical robust control algorithms and in the conservativeness of methods like H-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 in congestion control of high-speed communications networks and the stability of quantized sampled-data systems. This monograph will be of interest to theorists concerned with robust and optimal control techniques and to all control engineers dealing with system uncertainties.

Randomized Algorithms for Analysis and Control of Uncertain Systems

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Release : 2012-10-21
Genre : Technology & Engineering
Kind : eBook
Book Rating : 093/5 ( reviews)

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Book Synopsis Randomized Algorithms for Analysis and Control of Uncertain Systems by : Roberto Tempo

Download or read book Randomized Algorithms for Analysis and Control of Uncertain Systems written by Roberto Tempo. This book was released on 2012-10-21. Available in PDF, EPUB and Kindle. Book excerpt: The presence of uncertainty in a system description has always been a critical issue in control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain Systems, with Applications (Second Edition) is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. The approach propounded by this text guarantees a reduction in the computational complexity of classical control algorithms and in the conservativeness of standard robust control techniques. The second edition has been thoroughly updated to reflect recent research and new applications with chapters on statistical learning theory, sequential methods for control and the scenario approach being completely rewritten. Features: · self-contained treatment explaining Monte Carlo and Las Vegas randomized algorithms from their genesis in the principles of probability theory to their use for system analysis; · development of a novel paradigm for (convex and nonconvex) controller synthesis in the presence of uncertainty and in the context of randomized algorithms; · comprehensive treatment of multivariate sample generation techniques, including consideration of the difficulties involved in obtaining identically and independently distributed samples; · applications of randomized algorithms in various endeavours, such as PageRank computation for the Google Web search engine, unmanned aerial vehicle design (both new in the second edition), congestion control of high-speed communications networks and stability of quantized sampled-data systems. Randomized Algorithms for Analysis and Control of Uncertain Systems (second edition) is certain to interest academic researchers and graduate control students working in probabilistic, robust or optimal control methods and 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

Randomized Algorithms in Automatic Control and Data Mining

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Release : 2014-08-31
Genre :
Kind : eBook
Book Rating : 874/5 ( reviews)

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Book Synopsis Randomized Algorithms in Automatic Control and Data Mining by : Oleg Granichin

Download or read book Randomized Algorithms in Automatic Control and Data Mining written by Oleg Granichin. This book was released on 2014-08-31. Available in PDF, EPUB and Kindle. Book excerpt:

Optimal Control

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Release : 2013-04-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 957/5 ( reviews)

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Book Synopsis Optimal Control by : William W. Hager

Download or read book Optimal Control written by William W. Hager. This book was released on 2013-04-17. Available in PDF, EPUB and Kindle. Book excerpt: February 27 - March 1, 1997, the conference Optimal Control: The ory, Algorithms, and Applications took place at the University of Florida, hosted by the Center for Applied Optimization. The conference brought together researchers from universities, industry, and government laborato ries in the United States, Germany, Italy, France, Canada, and Sweden. There were forty-five invited talks, including seven talks by students. The conference was sponsored by the National Science Foundation and endorsed by the SIAM Activity Group on Control and Systems Theory, the Mathe matical Programming Society, the International Federation for Information Processing (IFIP), and the International Association for Mathematics and Computers in Simulation (IMACS). Since its inception in the 1940s and 1950s, Optimal Control has been closely connected to industrial applications, starting with aerospace. The program for the Gainesville conference, which reflected the rich cross-disci plinary flavor of the field, included aerospace applications as well as both novel and emerging applications to superconductors, diffractive optics, non linear optics, structural analysis, bioreactors, corrosion detection, acoustic flow, process design in chemical engineering, hydroelectric power plants, sterilization of canned foods, robotics, and thermoelastic plates and shells. The three days of the conference were organized around the three confer ence themes, theory, algorithms, and applications. This book is a collection of the papers presented at the Gainesville conference. We would like to take this opportunity to thank the sponsors and participants of the conference, the authors, the referees, and the publisher for making this volume possible.

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