Event-triggered filter design for nonlinear cyber-physical systems subject to deception attacks
Related Experiment Video
Updated: Jan 27, 2026

A Within-Subject Experimental Design using an Object Location Task in Rats
Published on: May 6, 2021
Zhou Gu1, Xiaohong Zhou2, Tao Zhang3
1College of Mechanical & Electronic Engineering, Nanjing Forestry University, Nanjing, China; College of Automation Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China.
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.
Related Concept Videos
Bioavailability Study Design: Healthy Subjects Versus Patients
Understanding Deception
Nonlinear Pharmacokinetics: Causes of Nonlinearity
Nonlinear drug absorption can occur when the process is rate-limited by solubility, carrier-mediated transport systems, or saturation of the presystemic gut wall or hepatic metabolism. For instance, high doses of riboflavin...
Acid Attack on Concrete
The rate at which hydrogen...
Sulfate Attack on Concrete
Sulfates from sources like soil, groundwater, or industrial effluents...
Group Design

