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Yahya S. Khaligh

dblp:83/8366 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2010
—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.

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
adaptive control
0.112010
Adaptive control of robot manipulators including actuator dynamics and without joint torque measurement · ICRA 2010
Robotics › Motion planning and robot control › robot control › trajectory tracking
motion tracking control
0.112010
Adaptive control of robot manipulators including actuator dynamics and without joint torque measurement · ICRA 2010
Robotics › Motion planning and robot control
robot control
0.112010
Adaptive control of robot manipulators including actuator dynamics and without joint torque measurement · ICRA 2010

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

backstepping · 0.1adaptive observer · 0.1
YearPublicationVenuePosition
2010 Adaptive control of robot manipulators including actuator dynamics and without joint torque measurement
abstract
Ignoring actuator dynamics in control of rigid manipulators can in practice result in performance degradation or loss of system stability. However, consideration of actuator dynamics usually requires measurement of robot joint torques. This paper addresses motion tracking control of an n-DOF rigid robot by taking into account its actuator dynamics. Joint torque measurement is avoided by using an adaptive observer. The backstepping technique is adopted to develop a dynamically smooth adaptive nonlinear controller dealing with uncertainties in manipulator and actuator dynamics. Semi-global convergence of motion tracking errors as well as torque estimation error are proven without any persistency of excitation condition. Simulation examples demonstrate low noise sensitivity of the proposed method in comparison with those using torque measurement.
Yahya S. Khaligh, Mehrzad Namvar
ICRA1