Special Issue "Real Time Dependable Distributed Control Systems"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (15 September 2018)

Special Issue Editor

Guest Editor
Prof. Dr.-Ing. Sergio Montenegro

Informatik für Luft- und Raumfahrt, Universität Würzburg, 97074 Würzburg, Germany
Website | E-Mail
Phone: +49 931 / 31-83715
Interests: real time dependable distributed control systems; aerospace applications; real time operating systems; real time communication protocols and middleware; UAS/UAV Drones/unmanned areal vehicles and systems; AUVs Under Autonomous Underwater vehicles; satellites and space vehicles

Special Issue Information

Dear Colleagues,

If it (the machine) is truly dependable, it must be distributed! Do you agree? If not, you are invited to present your thesis or idea.

That is not all, however. Distributed control has another face: the distributed closed loop and/or feedback control.

The first face: Dependability implies distributed real-time control, because we must avoid any possible single points of global failure, including physical damages. Therefore, the functionality has to be redundant (e.g., replicated) and distributed in different physical locations (of the machine). This requires robust real-time communication links and protocols, which normally cannot guarantee the delivery of each and every message. This requires control algorithms which can operate correctly, even in the case of message loss. This implies predictors and mathematical models. Replication is not enough—we need redundancy management and correct state estimation despite inconsistent, contradictory, and/or missing data and measurements, and all of this in real-time.

The second face: We have cooperating independent agents with a common goal. The actions of each one must be coordinated with all others in real-time.  These agents are distributed spatially, for example, and controlled by multiple individual controllers which are interconnected. The controllers exchange knowledge between each other and thus provide performance results similar to centralized control systems, while being more reliable (due to redundancy), easier to implement (e.g., if the subsystems are spatially distributed like satellites), and have lower communication requirements than a centralized control. On the other hand, controller design is much more demanding, since each individual controller also has to model some (or all) other agents, and state exchange between the controllers has to be implemented.

You are invited to contribute to or to contradict these theses.

Prof. Dr. Sergio Montenegro
Guest Editor

Manuscript Submission Information

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Keywords

  • Real-time communication protocols and middleware
  • Redundancy and redundancy management
  • Predictors and mathematical models
  • Robust and fault-tolerant control/steering
  • Real-time operating systems for distributed real-time control
  • Distributed state estimation
  • Distributed close loop / feedback control
  • Model predictive control
  • Robust control

Published Papers (1 paper)

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Research

Open AccessArticle A Distributed Strategy for Target Tracking and Rendezvous Using UAVs Relying on Visual Information Only
Electronics 2018, 7(10), 211; https://doi.org/10.3390/electronics7100211 (registering DOI)
Received: 23 August 2018 / Revised: 11 September 2018 / Accepted: 19 September 2018 / Published: 21 September 2018
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Abstract
This paper proposes a distributed target tracking solution using a team of Unmanned Aerial Vehicles (UAVs) equipped with low-cost visual sensors capable of measuring targets bearing information only. The team of UAVs moves along circular orbits and uses consensus–based distributed Kalman Filtering to
[...] Read more.
This paper proposes a distributed target tracking solution using a team of Unmanned Aerial Vehicles (UAVs) equipped with low-cost visual sensors capable of measuring targets bearing information only. The team of UAVs moves along circular orbits and uses consensus–based distributed Kalman Filtering to identify the position of the target. We show that the centre of the orbit eventually converges to the target position using theoretical arguments and extensive simulation data. By using the same approach, we can solve the rendezvous problem: the team first scans an area in search of a target; as soon as one of the UAVs spots, the other components converge on the target position. Full article
(This article belongs to the Special Issue Real Time Dependable Distributed Control Systems)
Figures

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