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Francisco José Ruiz Sanchez

dblp:14/7574 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, 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 · 67% Video understanding and tracking · 33%

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

TopicWeightPapersLastEvidence papers
Computer vision › Video understanding and tracking › object tracking
contour tracking
0.212013
Passive Velocity Field Control for contour tracking of robots with model-free controller · ICRA 2013
Robotics › Motion planning and robot control
robot control
0.212013
Passive Velocity Field Control for contour tracking of robots with model-free controller · ICRA 2013
Robotics › Motion planning and robot control › robot control
sliding mode control
0.212013
Passive Velocity Field Control for contour tracking of robots with model-free controller · ICRA 2013

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

lyapunov stability · 0.2fuzzy aggregation · 0.2
YearPublicationVenuePosition
2013 Passive Velocity Field Control for contour tracking of robots with model-free controller
abstract
A simple, fast and robust Passive Velocity Field Control (PVFC) scheme for contour tracking in 2D and 3D is presented. A model-free and chattering-free second order sliding mode controller is proposed, which enforces an invariant manifold for all time such that the generalized velocity tracks the spatial velocity field. A constructive simple and intuitive method to design this velocity field is built upon a fuzzy aggregation of orthogonal vectors to guide the end-effector subject to a dissipative map. Stability properties in the sense of Lyapunov establish the fast and yet smooth tracking with typical robustness of sliding modes. In this way, the closed-loop system exhibits the mildness of PVFC but it evades the subtle complexities of the original approach PVFC. A simulation study is discussed, and experimental results highlight the characteristics of the proposed approach.
Aldo-Jonathan Munoz-Vazquez, Vicente Parra-Vega, Anand Sánchez-Orta, Octavio García 0001, Francisco José Ruiz Sanchez, Sergio Rosales
ICRA5
2008 Nonlinear Discrete-Time Adaptive Controller Based on Fuzzy Rules Emulated Network and Its Estimated Gradient
abstract
The adaptive controller for a class of nonlinear discrete-time systems based on Multi-Input Fuzzy Rules Emulated Network (MIFREN) is introduced in this article. MIFREN is assigned to identify the unknown plant under control, then a novel control law is introduced based the previously identified plant with another MIFREN. All control parameters, including the learning rates are selected to guarantee bounded close-loop signals, via Lyapunov stability criteria. The performance of the proposed control algorithm is demonstrated by computer simulation results.
Chidentree Treesatayapun, Vicente Parra-Vega, Francisco José Ruiz Sanchez
ICMLA3