Supervisory control of a class of discrete event processes
SIAM Journal on Control and Optimization
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ACP '95 Proceedings from the international workshop on Algebra of communicating processes
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QEST '05 Proceedings of the Second International Conference on the Quantitative Evaluation of Systems
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Interactive Markov chains: and the quest for quantified quality
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ACSD '11 Proceedings of the 2011 Eleventh International Conference on Application of Concurrency to System Design
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ACSD '12 Proceedings of the 2012 12th International Conference on Application of Concurrency to System Design
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We develop a process theory that can model supervisory control loops with data observation for stochastic discrete-event systems. Supervisory controllers safely coordinate distributed components of complex systems by observing their high-level discrete(-event) behavior and making a decision on allowed activities. Models of such controllers can be automatically synthesized based on the formal models of the system components and a formalization of the coordination requirements. We employ generic communication primitives to distinguish between the different flows of information, i.e., observation and supervision, whereas the coordination requirements are compactly expressed in terms of data assignments. The stochastic behavior can be employed for performance or reliability analysis, bringing higher confidence in the control design. We illustrate the framework by remodeling an industrial case study involving safe and reliable coordination of multiple maintenance procedures of a printing process of a high-tech printer.