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Maximal Permissiveness of Modular Supervisory Control via Multilevel Structuring

Authors: Jan Komenda; Jan H. van Schuppen; Tomáš Masopust; Tomáš Masopust;

Maximal Permissiveness of Modular Supervisory Control via Multilevel Structuring

Abstract

Abstract Modular supervisory control is motivated by the gain in complexity of control synthesis of supervisors. Sufficient conditions for maximal permissiveness of supervisors include mutual controllability and mutual normality. In this paper, we show how these conditions can be weakened. Namely, we can relax the requirement that the conditions hold for all pairs of components by putting the tuples of plants that do not satisfy the given condition for maximal permissiveness into different groups on an intermediate level of abstraction.

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Keywords

mutual controllability, multi-level structure, supervisory control

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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gold