An introduction to the application of semidefinite
programming in process control
An introduction to the application of semidefinite
programming in process control
V. Balakrishnan, F. Wang and L. Vandenberghe
In Proc. IEEE American Control Conf.,
pages 3219-3223,
Chicago, Illinois
June 2000
Abstract: A number of important problems from system and control
theory can be numerically solved by reformulating them as
semidefinite programming (SDP) problems, that is, linear
objective minimization with linear matrix inequality
constraints. The objective of this article is to provide a
brief introduction to SDP and its application to problems
from chemical process control.
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