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Chen-Yi Su

dblp:28/3907 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none

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

Security and privacy · 1Databases, data management, data science and information retrieval · 1Applied, 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 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
manipulator control
0.011998
Redesign of hybrid adaptive/robust motion control of rigid-link electrically-driven robot manipulators · IEEE Trans. Robotics Autom. 1998
Robotics › Motion planning and robot control › robot control › adaptive control
robust adaptive control
0.011998
Redesign of hybrid adaptive/robust motion control of rigid-link electrically-driven robot manipulators · IEEE Trans. Robotics Autom. 1998

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

robust control · 0.0lyapunov stability · 0.0adaptive control · 0.0
YearPublicationVenuePosition
2008 Wireless Sensor Network Assisted Dynamic Path Planning for Transportation Systems
Yue-Shan Chang, Tong-Ying Tony Juang, Chen-Yi Su
ATC3
1998 Redesign of hybrid adaptive/robust motion control of rigid-link electrically-driven robot manipulators
abstract
In Su and Stepanenko (1995), a hybrid adaptive controller for rigid-link electrically-driven robot manipulators was proposed. Semi-global asymptotic stability of the controller was established in the Lyapunov sense. However, there are two limitations in it. One is that the controller requires the joint velocity measurements, that with the required accuracy can be difficult to realize in practical applications. The other one assumes the boundedness of estimated inertia parameters of the manipulator in order to reduce the computation complexity. In this paper, we propose a modification of the hybrid adaptive controller, which eliminate the above-mentioned limitations. Hence the range of applicability of the method in the above article can be greatly broadened. The capabilities of the proposed control strategies are illustrated through computer simulation.
Chen-Yi Su, Yury Stepanenko
IEEE Trans. Robotics Autom.1