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.
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