Adaptive Secure State Estimation for Cyber-Physical Systems With Low Memory Cost

2020 ◽  
Vol 7 (4) ◽  
pp. 1621-1632
Author(s):  
Liwei An ◽  
Guang-Hong Yang
Keyword(s):  
State Estimation ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Memory Cost

scholarly journals Joint attack detection and secure state estimation of cyber‐physical systems

2019 ◽  
Vol 30 (11) ◽  
pp. 4303-4330 ◽  
Author(s):  
Nicola Forti ◽  
Giorgio Battistelli ◽  
Luigi Chisci ◽  
Bruno Sinopoli
Keyword(s):  
State Estimation ◽  
Cyber Physical Systems ◽  
Attack Detection ◽  
Physical Systems

scholarly journals State Estimation and Event-Triggered Control for Cyber-Physical Systems under Malicious Attack

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Yongzhen Guo ◽  
Baijing Han ◽  
Weiping Wang ◽  
Manman Yuan
Keyword(s):  
State Estimation ◽  
Finite Time ◽  
Cyber Physical Systems ◽  
The State ◽  
State Information ◽  
Physical Systems ◽  
Malicious Attack ◽  
Event Triggered

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.

State Estimation Over a Lossy Network in Spatially Distributed Cyber-Physical Systems

2014 ◽  
Vol 62 (15) ◽  
pp. 3911-3923 ◽  
Author(s):  
Siddharth Deshmukh ◽  
Balasubramaniam Natarajan ◽  
Anil Pahwa
Keyword(s):  
State Estimation ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Spatially Distributed

Adaptive state estimation for cyber physical systems under sparse attacks

2018 ◽  
Vol 41 (6) ◽  
pp. 1571-1579 ◽  
Author(s):  
Hao Zhang ◽  
Chen Peng ◽  
Hongtao Sun ◽  
Dajun Du
Keyword(s):  
State Estimation ◽  
Adaptive Estimation ◽  
Computing Time ◽  
Estimation Method ◽  
Cyber Physical Systems ◽  
Estimation Problem ◽  
Step Size ◽  
Estimation Errors ◽  
Physical Systems ◽  
Dynamic Estimation

This paper investigates the state estimation problem for cyber physical systems under sparse attacks. Firstly, the fundamental state estimation problem is transferred to an optimization problem with a unique solution. Secondly, an adaptive estimation method for sparse attacks is proposed, which convergence property is well proved. The advantage of proposed method is that the step-size can be adaptively adjusted based on the dynamic estimation errors. Therefore, the computing time is less than some existing methods while guaranteeing the desired performance. Then, a suitable state feedback is designed to improve the computing speed while enhancing the resiliency for the destroyed system. Finally, the speed performance and accuracy of proposed algorithm are verified by two numerical examples.

scholarly journals Joint Channel Decoding and State Estimation in Cyber-Physical Systems

2017 ◽  
Vol 16 (11) ◽  
pp. 7560-7573
Author(s):  
Shuping Gong ◽  
Liang Li ◽  
Ju Bin Song ◽  
Husheng Li
Keyword(s):  
State Estimation ◽  
Cyber Physical Systems ◽  
Channel Decoding ◽  
Physical Systems ◽  
Joint Channel

Secure state estimation for Cyber Physical Systems with sparse malicious packet drops

2017 ◽  
Author(s):  
Gabriella Fiore ◽  
Young Hwan Chang ◽  
Qie Hu ◽  
Maria Domenica Di Benedetto ◽  
Claire J. Tomlin
Keyword(s):  
State Estimation ◽  
Cyber Physical Systems ◽  
Physical Systems
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