Distributed interval state estimation with l∞-gain optimization for cyber–physical systems subject to bounded disturbance and random stealthy attacks

Author(s):  
Jiyang Xie ◽  
Shuqian Zhu ◽  
Dawei Zhang
Author(s):  
Xiaolin Wang ◽  
Jianping He ◽  
Shanying Zhu ◽  
Cailian Chen ◽  
Xinping Guan

2022 ◽  
Author(s):  
Chengwei Wu ◽  
Weiran Yao ◽  
Guanghui Sun ◽  
Ligang Wu

2019 ◽  
Vol 30 (11) ◽  
pp. 4303-4330 ◽  
Author(s):  
Nicola Forti ◽  
Giorgio Battistelli ◽  
Luigi Chisci ◽  
Bruno Sinopoli

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Yongzhen Guo ◽  
Baijing Han ◽  
Weiping Wang ◽  
Manman Yuan

This paper is concerned with the security state estimation and event-triggered control of cyber-physical systems (CPSs) under malicious attack. Aiming at this problem, a finite-time observer is designed to estimate the state of the system successfully. Then, according to the state information, the event-triggered controller is designed through the event-triggered communication. It is proved that the system is uniformly and finally bounded. Finally, the effectiveness of the proposed method is verified by a simulation example.


2018 ◽  
Vol 54 (3) ◽  
pp. 309-319
Author(s):  
Takumi SHINOHARA ◽  
Toru NAMERIKAWA

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