Innovation-trigger-based sequential fusion Kalman filter for CPSs with multiplicative noises against deception attacks
Author:
Affiliation:
1. Heilongjiang University,Electronics Engineering Collage,Harbin,P. R. China,150086
2. Lingnan Normal University,School of Computer Science and Intelligence Education,Zhanjiang,P. R. China,524000
Funder
National Natural Science Foundation of China
Natural Science Foundation of Heilongjiang Province
Heilongjiang University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10595059/10595098/10595168.pdf?arnumber=10595168
Reference14 articles.
1. Cyber-Physical System (CPS): State of the Art
2. Multi-sensor distributed fusion estimation with applications in networked systems: A review paper
3. State estimation of CPSs with deception attacks: Stability analysis and approximate computation
4. Secure state estimation for event-triggered cyber-physical systems against deception attacks
5. Multi-sensor optimal information fusion Kalman filter
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