Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jung-Sun Ko

dblp:327/7388 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1992
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › observer-based control
disturbance observer-based control
0.011992
Design of efficient sliding mode controller for robot manipulator using disturbance observer · ICRA 1992
Robotics › Motion planning and robot control
robot control
0.011992
Design of efficient sliding mode controller for robot manipulator using disturbance observer · ICRA 1992
Robotics › Motion planning and robot control › robot control
sliding mode control
0.011992
Design of efficient sliding mode controller for robot manipulator using disturbance observer · ICRA 1992

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

sliding mode control · 0.0disturbance observer · 0.0
YearPublicationVenuePosition
1992 Design of efficient sliding mode controller for robot manipulator using disturbance observer
abstract
Design of a sliding mode control algorithm with efficient online compensation for robot manipulator is studied for robust and accurate tracking of the desired trajectories. The sliding mode tracking control uses a disturbance observer to eliminate the chattering problem that exists in conventional sliding mode control under modeling error and payload uncertainty. The proposed sliding mode control is presented in two theorems. The bounded stability of the proposed control method is proved. The efficiency of the control algorithm has been demonstrated by simulations for position tracking control of a robot subject to parameter and payload uncertainties.>
Ju-Jang Lee, Jung-Sun Ko, Myung-Joong Youn
ICRA3