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Tomáš Masopust

Researcher at Palacký University, Olomouc

Publications -  137
Citations -  1246

Tomáš Masopust is an academic researcher from Palacký University, Olomouc. The author has contributed to research in topics: Supervisory control & Context-sensitive grammar. The author has an hindex of 17, co-authored 129 publications receiving 1090 citations. Previous affiliations of Tomáš Masopust include Brno University of Technology & Hungarian Academy of Sciences.

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A Note on Relative Observability in Coordination Control

TL;DR: It is pointed out that conditional normality is a stronger condition than conditional (strong) relative observability, hence conditional strong relativeobservability can be used in coordination control instead of conditional normalities.

Regulated Nondeterminism in PDAs: The Non-Regular Case

TL;DR: In this paper, pushdown automata can make a computationally complete decision only if the pushdown content forms a string that belongs to a given control language, and it is shown that if the control language is linear and non-regular, then the computational power of these automata increased to the power of Turing machines.
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Universality of Confluent, Self-Loop Deterministic Partially Ordered NFAs is Hard.

TL;DR: This work solves the universality problem for confluent, self-loop deterministic poNFAs by showing that it is PSpace-complete if the alphabet may grow polynomially, and provides a lower-bound complexity for some other problems, including inclusion, equivalence, and $k$-piecewise testability.
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Distributed computation of maximally permissive supervisors in three-level relaxed coordination control of discrete-event systems

TL;DR: It is shown how the three-level framework of modular discrete-event systems helps to weaken the well-known mutual controllability condition.
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On the Computation of Controllable and Coobservable Sublanguages in Decentralized Supervisory Control.

TL;DR: This paper shows how to compute a controllable and coobservable sublanguage of the specification of a decentralized supervisory control system in a computationally efficient way by the notion of conditional decomposability.