Kullback-Leibler Divergence Based Stealthy Deception Attacks Against Multi-Sensor Remote State Estimation Under Limited ResourcesOA
Kullback-Leibler Divergence Based Stealthy Deception Attacks Against Multi-Sensor Remote State Estimation Under Limited Resources
Haibin Guo;Lin Li;Zhong-Hua Pang;Honggui Han
Beijing Key Laboratory of Air-Ground Collaborative Intelligent Control for Autonomous Transportation,North China University of Technology,Beijing 100144,China||School of Information Science and Technology,Beijing University of Technology,Beijing 100124,ChinaBeijing Key Laboratory of Air-Ground Collaborative Intelligent Control for Autonomous Transportation,North China University of Technology,Beijing 100144,ChinaBeijing Key Laboratory of Air-Ground Collaborative Intelligent Control for Autonomous Transportation,North China University of Technology,Beijing 100144,ChinaSchool of Information Science and Technology,Beijing University of Technology,Beijing 100124,China
Attack stealthinesscyber-physical systems(CPSs)deception attacksremote state estimation
Attack stealthinesscyber-physical systems(CPSs)deception attacksremote state estimation
《自动化学报（英文版）》 2026 (9)
2039-2048,10
This work was supported in part by the National Natural Science Foundation of China(62403010,62673012,62573005,52301408)the China Postdoctoral Science Foundation(2025T180466,2024M750192)the Beijing Postdoctoral Research Foundation(2025-ZZ-70)the Fund Project of Intelligent Perception and Control Key Laboratory of Sichuan Province(2024RYY05)and Beijing Natural Science Foundation(L241015).
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