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Russel G. Morgan

dblp:139/5038 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1985
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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.

Artificial intelligence
1 paper
Motion planning and robot control · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control		 0.011985
A decentralized variable structure control algorithm for robotic manipulators · IEEE J. Robotics Autom. 1985
Robotics › Motion planning and robot control › robot control
sliding mode control		 0.011985
A decentralized variable structure control algorithm for robotic manipulators · IEEE J. Robotics Autom. 1985
Robotics › Motion planning and robot control › robot control › sliding mode control
variable structure control		 0.011985
A decentralized variable structure control algorithm for robotic manipulators · IEEE J. Robotics Autom. 1985
Distributed systems › distributed control
decentralized control		 0.011985
A decentralized variable structure control algorithm for robotic manipulators · IEEE J. Robotics Autom. 1985

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

variable structure control · 0.0sliding mode · 0.0lyapunov analysis · 0.0
YearPublicationVenuePosition
1985 A decentralized variable structure control algorithm for robotic manipulators
abstract
A decentralized variable structure control algorithm is developed for robotic manipulators to cause sliding modes to exist. New approaches are used to reach the sliding mode and to reduce non-ideal characteristics while in the sliding mode. Both position control and trajectory following are examined through two-link and three-link digital simulations.
Russel G. Morgan, Ümit Özgüner
 IEEE J. Robotics Autom.1