Juan Ramón Trapero

dblp:32/5770 · DBLP profile ↗
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3ranked-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 · 1Systems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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 · 100%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
flexible manipulator control
0.112007
Fast identification method to control a flexible manipulator with parameter uncertainties · ICRA 2007
Robotics › Motion planning and robot control
robot control
0.112007
Fast identification method to control a flexible manipulator with parameter uncertainties · ICRA 2007
Mathematical optimization › control theory › system identification
parameter identification
0.012007
Fast identification method to control a flexible manipulator with parameter uncertainties · ICRA 2007

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

output feedback · 0.1generalized proportional integral control · 0.1algebraic identification · 0.1
YearPublicationVenuePosition
2009 Adaptive Controller for Single-Link Flexible Manipulators Based on Algebraic Identification and Generalized Proportional Integral Control
abstract
In this paper, we propose a fast online closed-loop identification method combined with an output-feedback controller of the generalized proportional integral (GPI) type for the control of an uncertain flexible robotic arm with unknown mass at the tip, including a Coulomb friction term in the motor dynamics. A fast nonasymptotic algebraic identification method developed in continuous time is used to identify the unknown system parameter and update the designed certainty equivalence GPI controller. In order to verify this method, several informative simulations and experiments are shown.
Jonathan Becedas, Juan Ramón Trapero, Vicente Feliú Batlle, Hebertt Sira-Ramírez
IEEE Trans. Syst. Man Cybern. Part B2
2007 Fast identification method to control a flexible manipulator with parameter uncertainties
abstract
In this article, we propose a fast on-line closed loop identification method of continuous-time combined with an output feedback controller of the generalized proportional integral type (GPI), for the control of an uncertain flexible robotic arm with unknown mass at the tip, including a Coulomb friction term in the motor dynamics. A fast, non-asymptotic, algebraic identification method is used to identify the unknown system parameter and update the designed certainty equivalence GPI controller. In order to verify this method several informative experiments are shown.
Jonathan Becedas, Juan Ramón Trapero, Hebertt Sira-Ramírez, Vicente Feliú Batlle
ICRA2
2007 An algebraic frequency estimator for a biased and noisy sinusoidal signal
Juan Ramón Trapero, Hebertt Sira-Ramírez, Vicente Feliú Batlle
Signal Process.1