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Kent Yee Lui

dblp:198/4200 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
nonholonomic systems
0.312017
Passive Configuration Decomposition and Passivity-Based Control of Nonholonomic Mechanical Systems · IEEE Trans. Robotics 2017
Robotics › Motion planning and robot control › robot control
passivity-based control
0.312017
Passive Configuration Decomposition and Passivity-Based Control of Nonholonomic Mechanical Systems · IEEE Trans. Robotics 2017
Robotics › Motion planning and robot control
robot control
0.312017
Passive Configuration Decomposition and Passivity-Based Control of Nonholonomic Mechanical Systems · IEEE Trans. Robotics 2017
Robotics › Motion planning and robot control › robot control
stabilization control
0.112017
Passive Configuration Decomposition and Passivity-Based Control of Nonholonomic Mechanical Systems · IEEE Trans. Robotics 2017

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

time-varying control · 0.3switching control · 0.3passive configuration decomposition · 0.3lagrange-d'alembert dynamics · 0.3
YearPublicationVenuePosition
2017 Passive Configuration Decomposition and Passivity-Based Control of Nonholonomic Mechanical Systems
abstract
We propose a novel passivity-based stabilization control framework for a certain class of nonholonomic mechanical systems. First, we derive the notion of passive configuration decomposition, which enables us to configuration-level decompose the system's Lagrange-D'Alembert dynamics into two systems, each evolving on their respective configuration spaces and also individually inheriting Lagrangian structure and passivity from the original dynamics. We then propose passivity-based time-varying and passivity-based switching control schemes that, by utilizing some control actions defined on each of the configuration spaces of the two systems and also their interplay with the nonholonomic constraint, can achieve stabilization while exploiting the nonlinear dynamics of the decomposed dynamics. We also provide conditions under which the passive configuration decomposition is possible, establish an equivalence between certain conditions for the proposed controls and kinematic controllability, and elucidate robustness property of the proposed controls based on passivity. Finally, examples are provided along with their simulation and experimental results to illustrate the theory.
Kent Yee Lui
IEEE Trans. Robotics2