Data-driven multivariate regression-based anomaly detection and recovery of unmanned aerial vehicle flight data.
Lei YangShaobo LiChuanjiang LiCaichao ZhuPublished in: J. Comput. Des. Eng. (2024)
Keyphrases
- anomaly detection
- data driven
- flight data
- unmanned aerial vehicles
- flight test
- intrusion detection
- detecting anomalies
- anomalous behavior
- path planning
- network intrusion detection
- dynamic environments
- network traffic
- network anomaly detection
- intrusion detection system
- control algorithm
- machine learning
- unsupervised learning
- detect anomalies
- one class support vector machines
- parameter identification