Distributed Interval Observer-based Fault Detection for a Class of Distributed Measurement Systems
- Resource Type
- Conference
- Authors
- Li, Danxia; Chang, Jing; Chen, Wei sheng; Cieslak, Jerome
- Source
- 2023 9th International Conference on Control, Automation and Robotics (ICCAR) Control, Automation and Robotics (ICCAR), 2023 9th International Conference on. :227-234 Apr, 2023
- Subject
- Robotics and Control Systems
Linear systems
Fault detection
Simulation
Robot kinematics
Measurement uncertainty
Estimation
Interference
Distributed interval observer
fault detection
distributed measurement systems
- Language
- ISSN
- 2251-2454
This paper focuses on the fault detection problem for uncertain linear systems with distributed sensor networks. The fault detection algorithm is designed by using of distributed interval observer(DIO), which only uses the outputs of each agent and the communication from its neighbors to estimate the upper and lower bounds (ULBs) of the state of the whole system. The distributed interval estimation would be able, starting from coordinate transformation and vector rearrangement, to detect the fault by monitoring the unreasonable interval in each agent. The effectiveness of the proposed fault detection strategy has been demonstrated theoretically and numerically.