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Khoder Melhem

dblp:92/4127 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2009
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › flexible manipulator control
flexible joint robot control
0.112009
Global Output Tracking Control of Flexible Joint Robots via Factorization of the Manipulator Mass Matrix · IEEE Trans. Robotics 2009
Robotics › Motion planning and robot control › robot control › output feedback control
output feedback tracking
0.112009
Global Output Tracking Control of Flexible Joint Robots via Factorization of the Manipulator Mass Matrix · IEEE Trans. Robotics 2009
Robotics › Motion planning and robot control
robot control
0.112009
Global Output Tracking Control of Flexible Joint Robots via Factorization of the Manipulator Mass Matrix · IEEE Trans. Robotics 2009

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

partial state-feedback linearization · 0.1observer design · 0.1integrator backstepping · 0.1
YearPublicationVenuePosition
2009 Global Output Tracking Control of Flexible Joint Robots via Factorization of the Manipulator Mass Matrix
abstract
This paper investigates the problem of global output feedback tracking control of flexible joint robots. Despite the fact that only link position and actuator position are available from measurements, the proposed controller ensures that the link position globally tracks the desired trajectory while keeping all the remaining signals bounded. The controller development uses a partial state-feedback linearization technique combined with the integrator backstepping control design method whereas a filter and an observer are utilized to remove the requirement of link and actuator velocity measurements. Partial state-feedback linearization of robot dynamics is performed by factoring the manipulator mass matrix into a quadratic form involving an integrable root matrix. The applicability of the proposed general design methodology is illustrated by an example of flexible joint planar robots. Numerical results for a two-link flexible joint planar robot are also provided.
Khoder Melhem, Wilson Wang
IEEE Trans. Robotics1