The significant progress that has been made in recent years both in
hardware implementations and in numerical computing has rendered
real-time optimization-based control a viable option when it comes
to advanced industrial applications. More recently, the need for
control of a process in the presence of a limited amount of
hardware resources has triggered research in the direction of
embedded optimization-based control. Operator Splitting Methods in
Control focuses on systems with linear dynamics, giving rise to
convex control problems. It provides a comprehensive survey of a
family of first order methods known as decomposition schemes or
operator splitting methods and shows the behavior of such
algorithms as solvers of control related convex problems from tens
to a few hundreds of variables. This compact survey gives the
reader a state-of-the-art overview of the topic with examples of
applications in aerospace and building control.
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