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.
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