Stability of Time-invariant Max-Min-Plus-Scaling Discrete-Event Systems with Diverse States

Journal Article (2024)
Author(s)

Sreeshma Markkassery (TU Delft - Team Ton van den Boom)

Ton Van Den Boom (TU Delft - Team Ton van den Boom)

Bart De Schutter (TU Delft - Delft Center for Systems and Control)

Research Group
Team Ton van den Boom
DOI related publication
https://doi.org/10.1016/j.ifacol.2024.07.011 Final published version
More Info
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Publication Year
2024
Language
English
Research Group
Team Ton van den Boom
Issue number
1
Volume number
58
Pages (from-to)
60-65
Event
17th IFAC Workshop on Discrete Event Systems, WODES 2024 (2024-04-29 - 2024-05-01), Rio de Janeiro, Brazil
Downloads counter
197
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Abstract

In this paper, we discuss the stability of general time-invariant discrete-event systems modelled as max-min-plus-scaling (MMPS) systems. We analyze MMPS systems with two types of states: time states and quantity states. A set of linear programming problems are proposed to find the growth rates of the time states via a normalization of the MMPS system. Then a framework for stability analysis of the general time-invariant MMPS system is discussed with respect to the normalized system. The approach presented in this paper is an efficient way to study the stability of a general MMPS system.