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Randomized Algorithms for Analysis and Control of Uncertain Systems - With Applications (Paperback, 2nd ed. 2013)
Loot Price: R5,278
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Randomized Algorithms for Analysis and Control of Uncertain Systems - With Applications (Paperback, 2nd ed. 2013)
Series: Communications and Control Engineering
Expected to ship within 10 - 15 working days
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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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