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W. Rhodes

dblp:86/10961 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
nonlinear control
0.011996
Nonlinear control of an overhead crane via the saturating control approach of Teel · ICRA 1996
Robotics › Motion planning and robot control › underactuated robotics
overhead crane control
0.011996
Nonlinear control of an overhead crane via the saturating control approach of Teel · ICRA 1996
Robotics › Motion planning and robot control
robot control
0.011996
Nonlinear control of an overhead crane via the saturating control approach of Teel · ICRA 1996
Robotics › Motion planning and robot control › robot control
underactuated systems
0.011996
Nonlinear control of an overhead crane via the saturating control approach of Teel · ICRA 1996

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

saturation control design · 0.0lyapunov analysis · 0.0
YearPublicationVenuePosition
1996 Nonlinear control of an overhead crane via the saturating control approach of Teel
abstract
Presents a control strategy for the horizontal position control of a two degree-of-freedom overhead crane. The approach transforms the underactuated crane dynamics into a form similar to the well known ball-and-beam dynamics. A controller is then developed based on the work of Teel (1992, 1995) for the transformed dynamics using a saturation control design technique. The control approach is based on a crane model which includes the typically neglected, higher-order nonlinearities. The resulting controller provides for asymptotic positioning of the crane payload from a large set of initial conditions. Experimental trials demonstrate the performance of the proposed controller while a computer simulation is used to suggest the benefit of the proposed saturation controller over a standard linear controller.
Timothy C. Burg, Darren M. Dawson, Christopher D. Rahn, W. Rhodes
ICRA4