activity
20182021
most citedOn predefined-time consensus protocols for dynamic networks

35 citations · 53 across the 3 of their papers we have counts for

collaborators

7 papers

math.OC202118 cited

A predefined-time first-order exact differentiator based on time-varying gains

Aldana-López R., Gómez-Gutiérrez D., Trujillo M. A. +3

Recently, a first-order differentiator based on time-varying gains was introduced in the literature, in its non recursive form, for a class of differentiable signals , satisf…

eess.SY2020

Predefined-Time Consensus of High-Order Multi-Agent Systems

J. Armando Colunga, Héctor M. Becerra, Carlos R. Vázquez +1

This paper addresses the distributed prescribed-time leader-following consensus problem for a class of high-order multi-agent systems (MASs) with perturbed nonlinear agents dynamic…

math.OC201935 cited

On predefined-time consensus protocols for dynamic networks

R. Aldana-López, D. Gómez-Gutiérrez, E. Jiménez-Rodríguez +2

This paper presents new classes of consensus protocols with fixed-time convergence, which enable the definition of an upper bound for consensus state as a parameter of the consensu…

cs.RO2019

A Hybrid Method for Online Trajectory Planning of Mobile Robots in Cluttered Environments

Leobardo Campos-Macías, David Gómez-Gutiérrez, Rodrigo Aldana-López +2

This paper presents a method for online trajectory planning in known environments. The proposed algorithm is a fusion of sampling-based techniques and model-based optimization via…

cs.RO2019

Autonomous Navigation of MAVs in Unknown Cluttered Environments

Leobardo Campos-Macías, Rodrigo Aldana-López, Rafael de la Guardia +2

This paper presents an autonomous navigation framework for reaching a goal in unknown 3D cluttered environments. The framework consists of three main components. First, a computati…

cs.CV2019

Real-time Approximate Bayesian Computation for Scene Understanding

Javier Felip, Nilesh Ahuja, David Gómez-Gutiérrez +2

Consider scene understanding problems such as predicting where a person is probably reaching, or inferring the pose of 3D objects from depth images, or inferring the probable stree…