Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

C. W. Chen

dblp:48/3501 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 · 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
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
ICRA2