Supervisory Control Theory (SCT) provides a tool to model and
control human-engineered complex systems, such as computer
networks, World Wide Web, identification and spread of malicious
executables, and command, control, communication, and information
systems. Although there are some excellent monographs and books on
SCT to control and diagnose discrete-event systems, there is a need
for a research monograph that provides a coherent quantitative
treatment of SCT theory for decision and control of complex
systems. This new monograph will assimilate many new concepts that
have been recently reported or are in the process of being reported
in open literature. The major objectives here are to present a) a
quantitative approach, supported by a formal theory, for
discrete-event decision and control of human-engineered complex
systems; and b) a set of applications to emerging technological
areas such as control of software systems, malicious executables,
and complex engineering systems. The monograph will provide the
necessary background materials in automata theory and languages for
supervisory control. It will introduce a new paradigm of language
measure to quantitatively compare the performance of different
automata models of a physical system. A novel feature of this
approach is to generate discrete-event robust optimal decision and
control algorithms for both military and commercial systems.
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