Demo Data from EDBT 2026 / reviewers in the wild / expert
I. Y. Shung
dblp:185/2263
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1987
—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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › constrained control
bounded input control |
0.0 | 1 | 1987 | Control of a flexible robot arm with bounded input: Optimum step responses · ICRA 1987 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1987 | Control of a flexible robot arm with bounded input: Optimum step responses · ICRA 1987 |
Methods — techniques the papers use, named apart from their topics
stable factorization · 0.0PI controller · 0.0LQG controller · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | Control of a flexible robot arm with bounded input: Optimum step responsesabstractThis paper studies the effectiveness of various controller design approaches on a flexible robot arm. The robot arm model used is that of Cannon-Schmitz flexible one-link robot. It is shown that the conventional PI controller cannot stabilize the closed-loop system. The idea of controller design using the stable factorization approach is explored. The controller design procedures, both with and without constraints on the actuator torque are discussed. The simulation results shows better system performance can be achieved by using these controllers instead of conventional LQG controller. The conclusion of this paper is that the stable factorizatlon approach has great potential in the area of flexible robot arm control. I. Y. Shung, Mathukumalli Vidyasagar |
ICRA | 1 |