A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems
Swinburne University of Technology · Brunel University of London
Abstract
Industrial cyber-physical systems (CPSs) are large-scale, geographically dispersed, and life-critical systems, in which lots of sensors and actuators are embedded and networked together to facilitate real-time monitoring and closed-loop control. Their intrinsic features in geographic space and resources put forward to urgent requirements of reliability and scalability for designed filtering or control schemes. This paper presents a review of the state-of-the-art of distributed filtering and control of industrial CPSs described by differential dynamics models. Special attention is paid to sensor networks, manipulators, and power systems. For real-time monitoring, some typical Kalman-based distributed algorithms…
Citation impact
- FWCI
- 54.96
- Percentile
- 100%
- References
- 157
Authors
4Topics & keywords
- Cyber-physical system
- Kalman filter
- Scalability
- Industrial control system
- Voltage droop
- Computer science
- Control engineering
- Automation