8 citations · 22 across the 15 of their papers we have counts for
17 papers
Distributed Saddle-Point Dynamics in Multilayer Networks
Christian D. Rodríguez-Camargo, Andrés F. Urquijo-Rodríguez, Eduardo Mojica-Nava
Multilayer networks provide a more advanced and comprehensive framework for modeling real-world systems compared to traditional single-layer and multiplex networks. Unlike single-l…
Consensus-based Distributed Optimization for Multi-agent Systems over Multiplex Networks
C. D. Rodríguez-Camargo, A. F. Urquijo-Rodríguez, E. A. Mojica-Nava
Multilayer networks provide a more comprehensive framework for exploring real-world and engineering systems than traditional single-layer networks, consisting of multiple interacti…
Cooperative Predictive Cruise Control: A Bargaining Game Approach
Miguel F. Arevalo-Castiblanco, Jaime Pachon, Duvan Tellez-Castro +1
This paper considers a cooperative cruise control problem from a predictive control perspective. Online decision-making is used to be executed during the driving process based on t…
Evaluation of the Region of Attractions of Higher Dimensional Hyperbolic Systems using the Extended Dynamic Mode Decomposition
Camilo Garcia-Tenorio, Duvan Tellez-Castro, Eduardo Mojica-Nava +1
This paper proposes an original methodology to compute the regions of attraction in hyperbolic and polynomial nonlinear dynamical systems using the eigenfunctions of the discrete-t…
Data-Driven Distributed Voltage Control for Microgrids: A Koopman-based Approach
Vladimir Toroa, Duvan Tellez-Castro, Eduardo Mojica-Nava +1
This paper presents a distributed data-driven control to regulate the voltage in an alternate current microgrid (MG). Following the hierarchical control frame for MGs, a secondary…
Event-Triggered Control for Weight-Unbalanced Directed Networks
Juan D. Pabon, Gustavo A. Cardona, Nestor I. Ospina +2
We develop an event-triggered control strategy for a weighted-unbalanced directed homogeneous robot network to reach a dynamic consensus in this work. We present some guarantees fo…