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10. Multiagent Self-Redundancy Identification and Tuned Greedy-Exploration.

Author

Martinez, David Alejandro, Mojica-Nava, Eduardo, Watson, Kym, and Uslander, Thomas

Abstract

The constant development of sensing applications using innovative and affordable measurement devices has increased the amount of data transmitted through networks, carrying in many cases, redundant information that requires more time to be analyzed or larger storage centers. This redundancy is mainly present because the network nodes do not recognize environmental variations requiring exploration, which causes a repetitive data collection in a set of limited locations. In this work, we propose a multiagent learning framework that uses the Gaussian process regression (GPR) to allow the agents to predict the environmental behavior by means of the neighborhood measurements, and the rate distortion function to establish a border in which the environmental information is neither misunderstood nor redundant. We apply this framework to a mobile sensor network and demonstrate that the nodes can tune the parameter $s$ of the Blahut–Arimoto algorithm in order to adjust the gathered environment information and to become more or less exploratory within a sensing area. [ABSTRACT FROM AUTHOR]

Published
2022
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24. Decentralized Switched Current Control for DC Microgrids.

Author

Mojica-Nava, Eduardo, Rey, Juan M., Torres-Martinez, Javier, and Castilla, Miguel

Subjects
*MICROGRIDS, *ELECTRIC power distribution, *CLOSED loop systems, *PASSIVITY (Engineering), *PASSIVITY-based control
Abstract

In this paper, a decentralized switched current control is presented for dc microgrids. The dc microgrid is modeled considering dc–dc converters as controlled current sources instead of traditional voltage sources in droop control schemes. The proposed current control consists of switching between two current reference signals while keeping the voltage level at the loads and with proper current distribution. It is shown that the closed-loop system is stable through passivity analysis. Experimental tests are performed to illustrate the effectiveness of the proposed control strategy using a laboratory microgrid. [ABSTRACT FROM AUTHOR]

Published
2019
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47. The Role of Population Games and Evolutionary Dynamics in Distributed Control Systems: The Advantages of Evolutionary Game Theory.

Author

Quijano, Nicanor, Ocampo-Martinez, Carlos, Barreiro-Gomez, Julian, Obando, German, Pantoja, Andres, and Mojica-Nava, Eduardo

Subjects
GAME theory in biology, POPULATION dynamics, AUTOMATIC control systems
Abstract

Recently, there has been an increasing interest in the control community in studying large-scale distributed systems. Several techniques have been developed to address the main challenges for these 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. [ABSTRACT FROM AUTHOR]

Published
2017
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