Nonstationary Filtering for Fuzzy Markov Switching Affine Systems With Quantization Effects and Deception Attacks-Reference-Cited by-同舟云学术

Nonstationary Filtering for Fuzzy Markov Switching Affine Systems With Quantization Effects and Deception Attacks

Published:2022-10 Issue:10 Volume:52 Page:6545-6554
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Cheng Jun¹^ORCID,Wu Yuyan¹,Wu Zheng-Guang²^ORCID,Yan Huaicheng³^ORCID

Affiliation:

1. School of Mathematics and Statistics, Center for Applied Mathematics of Guangxi, Guangxi Normal University, Guilin, China

2. Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China

3. Key Laboratory of Advanced Control and Optimization for Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Guangxi Province

Training Program for 1000 Young and Middle-Aged Cadre Teachers in Universities of Guangxi Province

Innovation Project of Guangxi Graduate Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/9893286/09705635.pdf?arnumber=9705635

Reference36 articles.

1. On Finite-State Stochastic Modeling and Secure Estimation of Cyber-Physical Systems

2. A Hierarchical Structure Approach to Finite-Time Filter Design for Fuzzy Markov Switching Systems With Deception Attacks

3. Distributed event‐triggered state estimators design for sensor networked systems with deception attacks

4. On the Performance Analysis of Resilient Networked Control Systems Under Replay Attacks

5. H∞ filtering for fuzzy dynamical systems with D stability constraints

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