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The Supervisory Control Problem of Discrete Event Systems using Polynomial Methods

Authors: Marchand, Hervé; Le Borgne, Michel;

The Supervisory Control Problem of Discrete Event Systems using Polynomial Methods

Abstract

This paper regroups various studies achieved around polynomial dynamical system theory. It presents the basic algebraic tools for the study of this particular class of discrete event systems. The polynomial dynamical systems are defined by polynomial equations over Z/3Z. Their study relies on concept borrowed from elementary algebraic geometry: varieties, ideals and morphisms. They are the basic tools that allow us to translate properties or specifications from a geometric description to suitable polynomial computations. In this paper, we more precisely describe the controller synthesis methodology. We specify the main requirements as simple properties, named control objectives, that the controlled plant has to satisfy.The plant is specified as a polynomial dynamical system over Z/3Z. The control of the plant is performed by restricting the controllable input values to values suitable with respect to the control objectives. This restriction is obtained by incorporating new algebraic equations into the initial polynomial dynamical system, which specifies the plant. Various kind of control objectives are considered, such as ensuring the invariance or the reachability of a given set of states, as well as partial order relation to be checked by the controlled plant.

Keywords

DISCRETE EVENT SYSTEMS, [INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], OPTIMAL CONTROL, POLYNOMIAL METHODS., SUPERVISORY CONTROL PROBLEM, POLYNOMIAL METHODS, POLYNOMIAL DYNAMICAL SYSTEMS

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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!
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