Data‐Driven Fault Detection for Multi‐Agent Systems With Data Quantization
Abstract
ABSTRACT This paper focuses on data‐driven fault detection for multi‐agent systems subject to actuator faults. For fault detection, a quantized data‐driven fault detection scheme is constructed by making full use of data quantization information, which can reduce the computational burden and overcome dependence on a precise system mathematical model. Moreover, the developed method has the fault detection capability, where each agent can detect faults in all other agents within the topology network. A simulation study is conducted in the final section to validate the effectiveness of the proposed scheme.
Fields of Study & Subjects
Fault Detection and Control Systems
Distributed Control Multi-Agent Systems
Target Tracking and Data Fusion in Sensor Networks
Publication details
- Journal / source
- Computational Intelligence
- Volume
- 42
- Issue
- 1
- Publication date
- 8 January 2026
- Language
- EN