This book provides a direct and comprehensive introduction to
theoretical and numerical concepts in the emerging field of optimal
control of partial differential equations (PDEs) under uncertainty. The
main objective of the book is to offer graduate students and researchers
a smooth transition from optimal control of deterministic PDEs to
optimal control of random PDEs. Coverage includes uncertainty modelling
in control problems, variational formulation of PDEs with random inputs,
robust and risk-averse formulations of optimal control problems,
existence theory and numerical resolution methods. The exposition
focusses on the entire path, starting from uncertainty modelling and
ending in the practical implementation of numerical schemes for the
numerical approximation of the considered problems. To this end, a
selected number of illustrative examples are analysed in detail
throughout the book. Computer codes, written in MatLab, are provided for
all these examples. This book is adressed to graduate students and
researches in Engineering, Physics and Mathematics who are interested in
optimal control and optimal design for random partial differential
equations.