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Conference proceeding
Anomaly detection using parity space approach in team of UAV's with entropy based distributed behavior
AIAA Scitech 2020 Forum
AIAA Scitech 2020 Forum (Orlando, FL, 01/06/2020–01/10/2020)
2020
Abstract
In this study, an anomaly detection method is presented for a team of Unmanned Aerial Vehicles (UAVs). The primary goal is to detect the UAV with fault that can affect the global performance of the team in cooperative mission. In the developed method, each UAV compares the Tsallis entropy value of its neighbor using parity space approach, and the abnormality is identified as faulty member in the team. The designed application scenario consists of a distributed waypoint navigation mission. For this designed scenario, computer simulation experiments are performed. The results are presented and discussions are provided. These activities are part of a larger effort to establish resilient and intelligent team of UAVs.
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Details
- Title
- Anomaly detection using parity space approach in team of UAV's with entropy based distributed behavior
- Publication Details
- AIAA Scitech 2020 Forum
- Resource Type
- Conference proceeding
- Conference
- AIAA Scitech 2020 Forum (Orlando, FL, 01/06/2020–01/10/2020)
- Publisher
- American Institute of Aeronautics and Astronautics, Inc.
- Copyright
- © 2020 by Hakki Erhan Sevil.
- Identifiers
- 99380090641906600
- Academic Unit
- Intelligent Systems and Robotics; Hal Marcus College of Science and Engineering
- Language
- English