N
Nicanor Quijano
Researcher at University of Los Andes
Publications - 178
Citations - 2884
Nicanor Quijano is an academic researcher from University of Los Andes. The author has contributed to research in topics: Population & Replicator equation. The author has an hindex of 27, co-authored 162 publications receiving 2292 citations. Previous affiliations of Nicanor Quijano include Ohio State University.
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Journal ArticleDOI
Modeling and real-time control of urban drainage systems: A review☆
Luis Vicente Garcia,Julian Barreiro-Gomez,Julian Barreiro-Gomez,E. Escobar,D. Téllez,Nicanor Quijano,Carlos Ocampo-Martinez +6 more
TL;DR: In this article, the authors reviewed and discussed several techniques and strategies commonly used for the control of urban drainage systems and models to describe, simulate, and control the transport of wastewater in UDS.
Journal ArticleDOI
Dynamic Population Games for Optimal Dispatch on Hierarchical Microgrid Control
TL;DR: This paper presents a hierarchical microgrid management system using task sharing and an evolutionary game theory based dispatch strategy as a coordination algorithm to integrate the three main control levels needed for microgrid operation, which can be considered as a distributed intelligent system.
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The Role of Population Games and Evolutionary Dynamics in Distributed Control Systems: The Advantages of Evolutionary Game Theory
Nicanor Quijano,Carlos Ocampo-Martinez,Julian Barreiro-Gomez,German Obando,Andres Pantoja,Eduardo Mojica-Nava +5 more
TL;DR: This work addresses the main challenges for large-scale distributed systems, such as the amount of information needed to guarantee the proper operation of the system, the economic costs associated with the required communication structure, and the high computational burden of solving for the control inputs for largescale systems.
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A Population Dynamics Approach for the Dispatch of Distributed Generators
Andres Pantoja,Nicanor Quijano +1 more
TL;DR: A replicator dynamics strategy for dynamic resource allocation in the dispatch of distributed generators in a microgrid is presented and a market multiagent-based scheme is adapted.
Journal ArticleDOI
Distributed Population Dynamics: Optimization and Control Applications
TL;DR: This work extends the concept of population dynamics for nonwell-mixed populations in order to deal with distributed information structures that are characterized by noncomplete graphs and proves mass conservation and convergence to Nash equilibrium.