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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
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Drone Swarms as Networked Control Systems by Integration of Networking and Computing.

Godwin Asaamoning1,2, Paulo Mendes3,4, Denis Rosário5

  • 1COPELABS, Universidade Lusofóna, 1749-024 Lisbon, Portugal.

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Summary
This summary is machine-generated.

This review explores designing self-organized drone swarms as Networked Control Systems (NCS). It integrates networking and computational systems to overcome control challenges in dynamic environments for enhanced drone swarm performance.

Keywords:
drone swarmsin-network computingnetworked control systemswireless networks

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Area of Science:

  • Robotics and Automation
  • Networked Systems
  • Control Theory

Background:

  • Drone swarms exhibit cooperative behavior, but automating their control is complex due to dynamic constraints.
  • Existing literature lacks comprehensive reviews on designing drone swarms specifically as Networked Control Systems (NCS).

Purpose of the Study:

  • To provide an overview of developing self-organized drone swarms as NCS.
  • To analyze the integration of networking and computational systems for improved drone swarm performance.
  • To identify design choices and open research challenges in this domain.

Main Methods:

  • Literature analysis to identify research gaps.
  • Conceptual framework for integrating networking and computational systems in drone swarms.
  • Analysis of component properties and their synergistic effects.

Main Results:

  • Drone swarms can be effectively modeled as NCS by tightly integrating networking and computational systems.
  • This integration supports essential control functions: data exchange, decision-making, and command distribution.
  • The review highlights specific properties of networking and computational components for NCS drone swarms.

Conclusions:

  • A unified approach to drone swarm design as NCS is feasible and beneficial.
  • Further research is needed to address identified open challenges in integrating network and computing for drone swarms.
  • This work lays the groundwork for future advancements in autonomous, cooperative drone systems.