Observer-based improved event-triggered interval type-2 fuzzy networked control systems subject to deception attacks in dual communication channels

• Published in: Communications in nonlinear science & numerical simulation Vol. 142; p. 108579
• Main Authors: Li, Qiao-Li, Chang, Xiao-Heng
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2025
• Subjects: Deception attacks; Double communication channels; Improved event-triggered mechanism; IT2 fuzzy system; IT2 fuzzy system; Improved event-triggered mechanism; Deception attacks; Double communication channels
• ISSN: 1007-5704
• DOI: 10.1016/j.cnsns.2024.108579

The paper is mainly discusses the interval type-2 (IT2) fuzzy security control problem of improved event-triggered networked control systems (NCSs) under network attacks under dual communication channels. Firstly, under the premise of limited network bandwidth and unobservable system, an improved event-triggered (ET) mechanism is proposed to judge the data transmission conditions according to the average value of the current sampling time and the last triggering time. In addition, considering that the transmission of the networked system is carried out under multiple communication channels, this paper considers the role of event-triggered and deception attacks (DAs) at both ends of the system, and establishes a fuzzy system model under disturbance. The Lyapunov function method is used to analyze the stability of the system. The controller, observer and triggered matrix are designed by linear matrix inequalities (LMIs) approach, and the conditions satisfying the system stability and the expected performance index are obtained. Compared with common adaptive event triggered mechanism (AETM), the proposed improved adaptive ET scheme significantly saves network resources. Finally, The scheme’s effectiveness and superiority are validated through simulation examples. •An observer-based IT2 fuzzy control system model for DAs under multiple communication channels is established.•The improved event-triggered strategy are introduced to reduce the amount of data in the channels.•At the same time, deception attacks on the system is considered.