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Zhanping Yuan

dblp:87/7734 · 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

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 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › adaptive control
adaptive output feedback control
0.112009
Adaptive output feedback control of uncertain nonholonomic systems with strong nonlinear drifts · ICRA 2009
Robotics › Motion planning and robot control › robot control
nonholonomic systems
0.112009
Adaptive output feedback control of uncertain nonholonomic systems with strong nonlinear drifts · ICRA 2009
Robotics › Motion planning and robot control › robot control
nonlinear control
0.112009
Adaptive output feedback control of uncertain nonholonomic systems with strong nonlinear drifts · ICRA 2009
Robotics › Motion planning and robot control
robot control
0.112009
Adaptive output feedback control of uncertain nonholonomic systems with strong nonlinear drifts · ICRA 2009
Robotics › Motion planning and robot control › robot control
stabilization
0.112009
Adaptive output feedback control of uncertain nonholonomic systems with strong nonlinear drifts · ICRA 2009

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

lyapunov stability theory · 0.1input-state scaling · 0.1backstepping · 0.1
YearPublicationVenuePosition
2009 Adaptive output feedback control of uncertain nonholonomic systems with strong nonlinear drifts
abstract
In this paper, an adaptive output feedback control strategy is presented to solve the stabilization problem of nonholonomic systems in chained form with strong nonlinear drifts and uncertain parameters using output signals only. The control law is developed using input-state scaling and backstepping techniques. The objective is to design adaptive nonlinear output feedback laws which can steer the closed-loop systems globally converge to the origin, while the estimated parameters remain bounded. An adaptive output feedback controller is proposed for a class of uncertain chained systems. Simulation results demonstrate the effectiveness of the proposed controllers.
Zhanping Yuan, Zhuping Wang
ICRA1