JOURNAL ARTICLE

Event‐triggered adaptive finite‐time secure control for nonlinear cyber‐physical systems against unknown deception attacks

Jiali MaJiaqi WangShengyuan XuShumin FeiHongyan Feng

Year: 2022 Journal:   International Journal of Robust and Nonlinear Control Vol: 33 (3)Pages: 1593-1606   Publisher: Wiley

Abstract

Abstract In this article, the event‐triggered‐based adaptive finite‐time secure control problem is considered for nonlinear cyber‐physical systems (CPSs) in the presence of unknown sensor and actuator deception attacks. Due to the existence of unknown deception attacks, the system states are unavailable such that the conventional backstepping cannot be applicable. To solve this problem, a novel coordinate transformation is introduced based on the compromised system states. Then the adaptive controller combined with the triggering mechanism is designed by using adding a power integrator technique. Besides, based on the finite‐time stability theorem, an adaptive switching law is proposed to regulate the dynamic controller parameter such that the unknown deception attacks can be effectively compensated. It is shown that the finite‐time stability can be guaranteed for the nonlinear CPSs and Zeno behavior can be avoided. Finally, a simulation example is provided to show the effectiveness of the proposed control scheme.

Keywords:
Backstepping Control theory (sociology) Nonlinear system Computer science Controller (irrigation) Deception Integrator Stability (learning theory) Adaptive control Cyber-physical system Transformation (genetics) Control (management) Law Artificial intelligence Physics

Metrics

10
Cited By
1.49
FWCI (Field Weighted Citation Impact)
29
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Smart Grid Security and Resilience
Physical Sciences →  Engineering →  Control and Systems Engineering
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Security and Verification in Computing
Physical Sciences →  Computer Science →  Artificial Intelligence
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