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
"
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