Shih-Ho Wang

dblp:46/11485 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1996
—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-authorGraphics, computer vision, multimedia, augmented reality and games · 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 · 81% Robot manipulation · 19%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 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
0.011991
Inversion of nonlinear dynamical systems with applications to factory automation · ICRA 1991
Robotics › Motion planning and robot control › robot control
flexible structure control
0.011991
Inversion of nonlinear dynamical systems with applications to factory automation · ICRA 1991
Robotics › Robot manipulation
robot manipulator
0.011991
Inversion of nonlinear dynamical systems with applications to factory automation · ICRA 1991
Computational science and engineering
manufacturing automation
0.011991
Inversion of nonlinear dynamical systems with applications to factory automation · ICRA 1991

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

nonlinear dynamical system inversion · 0.0
YearPublicationVenuePosition
1996 System identification via singular value decomposition
abstract
The problem of identification of linear time invariant system parameters from its truncated impulse response data is studied. We analyze the algorithm originally proposed by Kung (1978), and later modified by others, which is based on the singular value decomposition of the Hankel matrix. We propose a modified algorithm which generates more accurate results.
Shih-Ho Wang, Tong-Fu Lee, Randy Zachery
ICASSP1
1991 Inversion of nonlinear dynamical systems with applications to factory automation
abstract
A simple and effective method for inverting a nonlinear dynamical system is proposed. For a given nonlinear system and its initial condition, it is possible to numerically compute an input function such that the corresponding output equals a given output function. Applications of this method include control of flexible structures, robotic manipulators which are essential in factory automation.>
Shih-Ho Wang, C. W. Chen
ICRA1