Event-triggered filter design for nonlinear cyber-physical systems subject to deception attacks

Zhou Gu; Xiaohong Zhou; Tao Zhang; Fan Yang; Mouquan Shen

doi:10.1016/j.isatra.2019.02.036

Event-triggered filter design for nonlinear cyber-physical systems subject to deception attacks

ISA Trans. 2020 Sep:104:130-137. doi: 10.1016/j.isatra.2019.02.036. Epub 2019 Mar 14.

Authors

Zhou Gu¹, Xiaohong Zhou², Tao Zhang³, Fan Yang², Mouquan Shen⁴

Affiliations

¹ College of Mechanical & Electronic Engineering, Nanjing Forestry University, Nanjing, China; College of Automation Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China. Electronic address: gzh1808@163.com.
² College of Mechanical & Electronic Engineering, Nanjing Forestry University, Nanjing, China.
³ College of Automation Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China.
⁴ College of Electrical Engineering and Control Science, Nanjing Technology University, Nanjing, China.

PMID: 30902498
DOI: 10.1016/j.isatra.2019.02.036

Abstract

This paper is concerned with an event-triggered filter design for fuzzy-model-based cyber-physical systems with cyber-attacks. Spurious events may be triggered under the conventional event-triggered mechanism (ETM) when the sampling data has a rapid change arising from unpredicted external disturbance. To avoid spurious decisions on data releasing a new ETM is proposed. Furthermore, the communication network is vulnerable to attacks by malicious attackers. Under this scenario, a new resilient filter is designed to ensure the security. Sufficient conditions are established to make the filtering error system asymptotically stable. A numerical example is provided to show the effectiveness of the proposed results.

Keywords: Cyber-attacks; Event-triggered mechanism; Filter design.