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A. R. Williamson

dblp:30/3772 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
discrete event systems
0.011994
A Hybrid Supervisory Control System for Flexible Manufacturing Workeells · ICRA 1994
Embedded and real-time systems › discrete event systems
supervisory control
0.011994
A Hybrid Supervisory Control System for Flexible Manufacturing Workeells · ICRA 1994
Robotics › Robot manipulation
manufacturing workcell
0.011994
A Hybrid Supervisory Control System for Flexible Manufacturing Workeells · ICRA 1994

Methods — techniques the papers use, named apart from their topics

hybrid control · 0.0diagnostic monitoring · 0.0
YearPublicationVenuePosition
1994 A Hybrid Supervisory Control System for Flexible Manufacturing Workeells
abstract
Because of their nondeterministic nature of behaviour, the supervisory control of manufacturing systems must be carried out in closed loop. This trait greatly increases the size and complexity of the discrete-event system (DES)-based supervisory-controllers of manufacturing systems. In an attempt to cope with this complexity, a hybrid supervisory controller (HSC) is proposed. It splits operations between its three elements: (i) a DES supervisory controller, which contains the nominal control strategy, (ii) a diagnostic system, which monitors the workcell, and (iii) an alternate strategy driver (ASD), that asserts control by revising the nominal strategy of the DES supervisory controller, whenever events diverge from the states of the DES supervisory controller. This modified approach to DES control provides a more efficient controller than could reasonably be attained using solely a DES supervisory controller.>
A. R. Williamson, Beno Benhabib, Kenneth C. Smith
ICRA1