This book contains a collection of survey papers in the areas of
modelling, estimation and adaptive control of stochastic systems
describing recent efforts to develop a systematic and elegant
theory of identification and adaptive control. It is meant to
provide a fast introduction to some of the recent achievements. The
book is intended for graduate students and researchers interested
in statistical problems of control in general. Students in robotics
and communication will also find it valuable. Readers are expected
to be familiar with the fundamentals of probability theory and
stochastic processes.
General
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