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EDBT 2026 Demo / reviewers in the wild / expert

J. C. Ower

dblp:139/5347 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1987
—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%

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
flexible manipulator control		 0.011987
Classical control design for a flexible manipulator: Modeling and control system design · IEEE J. Robotics Autom. 1987
Robotics › Motion planning and robot control › robot dynamics
lagrangian dynamics		 0.011987
Classical control design for a flexible manipulator: Modeling and control system design · IEEE J. Robotics Autom. 1987
Robotics › Motion planning and robot control
robot control		 0.011987
Classical control design for a flexible manipulator: Modeling and control system design · IEEE J. Robotics Autom. 1987
Robotics › Motion planning and robot control
robot modeling		 0.011987
Classical control design for a flexible manipulator: Modeling and control system design · IEEE J. Robotics Autom. 1987

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

transfer function matrix · 0.0lagrangian dynamics · 0.0classical control design · 0.0
YearPublicationVenuePosition
1987 Classical control design for a flexible manipulator: Modeling and control system design
abstract
A Lagrangian dynamics approach is used to model the planar motion of a manipulator consisting of two flexible links and two rotary joints. The equations are linearized and represented by a transfer function matrix. In addition a multivariable control system is designed by a technique based on classical methods.
J. C. Ower, J. Van de Vegte
 IEEE J. Robotics Autom.1