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Dynamic output feedback control for interval type-2 fuzzy systems against DoS attacks and sensor failures

Qi Li, Hong Xue, Yingnan Pan, Hongjing Liang

2021International Journal of Systems Science22 citationsDOI

Abstract

This article focuses on investigating a dynamic output feedback control issue for uncertain nonlinear networked control systems (NCSs) in the presence of Denial-of-Service (DoS) attacks and sensor failures. By using the low and upper membership functions (LUMFs) of interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy model, the uncertainties existing in the considered NCSs are depicted effectively. Based on the IT2 fuzzy system, a switching fuzzy model is further established to correspond to different DoS attack scenarios. According to the average dwell-time approach and Lyapunov stability theory, an IT2 fuzzy dynamic output feedback control scheme is proposed so that the exponential stability of the considered NCSs can be achieved regardless of DoS attacks and sensor failures. Lastly, illustrative examples are presented to confirm the theoretical results proposed in this paper.

Topics & Concepts

Control theory (sociology)Denial-of-service attackInterval (graph theory)Fuzzy logicFuzzy control systemStability (learning theory)MathematicsNonlinear systemExponential stabilityComputer scienceControl (management)Artificial intelligencePhysicsMachine learningWorld Wide WebThe InternetQuantum mechanicsCombinatoricsNetwork Security and Intrusion DetectionNeural Networks Stability and SynchronizationDistributed Control Multi-Agent Systems