A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

By Derui Ding, Qing-Long Han, Zidong Wang, Xiaohua Ge. IEEE Transactions on Industrial Informatics, 2019

428 citations recorded by the source corpus.

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 are summarized and their performances on calculation burden and communication burden, as well as scalability, are discussed in depth. Then, the characteristics of non-Kalman cases are further disclosed in light of constructed filter structures. Furthermore, the latest development is surveyed for distributed cooperative control of mobile manipulators and distributed model predictive control in industrial automation systems. By resorting to droop characteristics, representative distributed control strategies classified by controller structures are systematically summarized for power systems with the requirements of power sharing and voltage and frequency regulation. In addition, distributed security control of industrial CPSs is reviewed when cyber-attacks are taken into consideration. Finally, some challenges are raised to guide the future research.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/44d857a8935ae3968a07c538cbcd077ae331cb46

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Qing-Long Han
2. Xianming Zhang
3. Xiaohua Ge
4. Derui Ding
5. Lei Ding
6. Chen Peng
7. Dong Yue
8. Zidong Wang

Citations in the corpus

• A Set-Membership Approach to Event-Triggered Filtering for General Nonlinear Systems Over Sensor Networks (2020, methodology): “Further research topics would include the extension of the main results in this paper to more complicated systems with various communication scheduling, such as try-once-discard protocols, round–robin protocols, and stochastic communication protocols [13], [14].”
• Distributed Event-Triggered Estimation Over Sensor Networks: A Survey (2020, background): “Since then, many results on distributed consensus estimation have been published, see the recent survey [48] and references therein.”
• Networked control systems: a survey of trends and techniques (2020, background): “Moreover, by introducing an adjustable “center” and some “zoom” parameters, a coarse quantizer is studied in [51] to achieve the input-to-state stability with respect to external disturbance.”