Many industries, such as transportation and manufacturing, use control
systems to insure that parameters such as temperature or altitude behave
in a desirable way over time. For example, pilots need assurance that
the plane they are flying will maintain a particular heading. An
integral part of control systems is a mechanism for failure detection to
insure safety and reliability.
This book offers an alternative failure detection approach that
addresses two of the fundamental problems in the safe and efficient
operation of modern control systems: failure detection--deciding when a
failure has occurred--and model identification--deciding which kind of
failure has occurred. Much of the work in both categories has been based
on statistical methods and under the assumption that a given system was
monitored passively.
Campbell and Nikoukhah's book proposes an "active" multimodel approach.
It calls for applying an auxiliary signal that will affect the output so
that it can be used to easily determine if there has been a failure and
what type of failure it is. This auxiliary signal must be kept small,
and often brief in duration, in order not to interfere with system
performance and to ensure timely detection of the failure. The approach
is robust and uses tools from robust control theory. Unlike some
approaches, it is applicable to complex systems. The authors present the
theory in a rigorous and intuitive manner and provide practical
algorithms for implementation of the procedures.