Title
Combining Advantages from Parameters in Modeling and Control of Discrete Event Systems
Abstract
Although Finite-State Automata (FSA) have been successfully used in modeling and control of Discrete Event Systems (DESs), they are limited to represent complex and advanced features of DESs, such as context recognition and switching. The literature has suggested that a FSA can nevertheless be enriched with parameters properly collected from the modeled system, so that this favors design and control. A parameter can be embedded either on transitions or states. However, each approach is structured within a specific framework, so that their comparison and integration are not straightforward and they may lead to different control solutions, modeled, computed and implemented using distinct strategies. In this paper, we show how to combine advantages from parameters in modeling and control of DESs. Each approach is structured and their advantages are identified and exemplified. Then, we propose a conversion method that allows to translate a design-friendly model into a synthesis-efficient structure. Examples illustrate the approach.
Year
DOI
Venue
2019
10.1109/ETFA.2019.8869175
2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Keywords
Field
DocType
Discrete Event Systems,Formal Modeling,Modeling Integration,Event-parameter,State-parameter,Control
Automaton,Control engineering,Context model,Engineering,Cost accounting,Distributed computing
Conference
ISSN
ISBN
Citations 
1946-0740
978-1-7281-0304-4
0
PageRank 
References 
Authors
0.34
7
6