Demo Data from EDBT 2026 / reviewers in the wild / expert
Zhanping Yuan
dblp:87/7734
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › adaptive control
adaptive output feedback control |
0.1 | 1 | 2009 | Adaptive output feedback control of uncertain nonholonomic systems with strong nonlinear drifts · ICRA 2009 |
Robotics › Motion planning and robot control › robot control
nonholonomic systems |
0.1 | 1 | 2009 | Adaptive output feedback control of uncertain nonholonomic systems with strong nonlinear drifts · ICRA 2009 |
Robotics › Motion planning and robot control › robot control
nonlinear control |
0.1 | 1 | 2009 | Adaptive output feedback control of uncertain nonholonomic systems with strong nonlinear drifts · ICRA 2009 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2009 | Adaptive output feedback control of uncertain nonholonomic systems with strong nonlinear drifts · ICRA 2009 |
Robotics › Motion planning and robot control › robot control
stabilization |
0.1 | 1 | 2009 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Adaptive output feedback control of uncertain nonholonomic systems with strong nonlinear driftsabstractIn 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 |
ICRA | 1 |