Event-based non-fragile synchronization control for T-S fuzzy neural systems with cyber-attacks

Jiangsu Annual Conference on Automation (JACA 2020) ◽

10.1049/icp.2021.1419 ◽

2021 ◽

Author(s):

Y. Yuan ◽

Y. Liu ◽

Y. Tan

Keyword(s):

Cyber Attacks ◽

Neural Systems ◽

Synchronization Control ◽

Fuzzy Neural ◽

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Adaptive Event-Based Non-Fragile Output Pinning Synchronization Control for Complex Networks With Random Saturations and Cyber-Attacks

IEEE Access ◽

10.1109/access.2021.3109009 ◽

2021 ◽

Vol 9 ◽

pp. 122712-122722

Author(s):

Yuting Zhu ◽

Rongqing Pan ◽

Yushun Tan ◽

Shumin Fei

Keyword(s):

Complex Networks ◽

Cyber Attacks ◽

Synchronization Control ◽

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Are Hybrid Fuzzy-Neural Systems Actually Useful in Plasma Engineering?

Neural Nets WIRN VIETRI-97 - Perspectives in Neural Computing ◽

10.1007/978-1-4471-1520-5_21 ◽

1998 ◽

pp. 233-238 ◽

Author(s):

F. C. Morabito ◽

M. Campolo

Keyword(s):

Neural Systems ◽

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Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks

Neurocomputing ◽

10.1016/j.neucom.2020.01.022 ◽

2020 ◽

Vol 387 ◽

pp. 241-254 ◽

Author(s):

Kaibo Shi ◽

Jun wang ◽

Shouming Zhong ◽

Yuanyan Tang ◽

Jun Cheng

Keyword(s):

Complex Networks ◽

Finite Time ◽

Cyber Attacks ◽

Synchronization Control

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Event‐triggered H ∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization

Optimal Control Applications and Methods ◽

10.1002/oca.2564 ◽

2020 ◽

Vol 41 (2) ◽

pp. 690-708

Author(s):

Xianling Li ◽

Ziyang Liu ◽

Zhiqiang Qiu ◽

Yiwen Qi ◽

Shuo Yuan

Keyword(s):

Cyber Attacks ◽

Synchronization Control ◽

Event Triggered

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Distributed Event-Based Control for Thermostatically Controlled Loads Under Hybrid Cyber Attacks

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.2978274 ◽

2020 ◽

pp. 1-14 ◽

Author(s):

Ying Wan ◽

Cheng Long ◽

Ruilong Deng ◽

Guanghui Wen ◽

Xinghuo Yu ◽

...

Keyword(s):

Cyber Attacks ◽

Thermostatically Controlled Loads ◽

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A fast learning algorithm for parsimonious fuzzy neural systems

Fuzzy Sets and Systems ◽

10.1016/s0165-0114(01)00034-3 ◽

2002 ◽

Vol 126 (3) ◽

pp. 337-351 ◽

Author(s):

Meng Joo Er ◽

Shiqian Wu

Keyword(s):

Learning Algorithm ◽

Neural Systems ◽

Fast Learning ◽

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Synaptic and somatic learning and adaptation in fuzzy neural systems

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks ◽

10.1109/ijcnn.1991.170510 ◽

1991 ◽

Author(s):

M.M. Gupta ◽

J. Qi

Keyword(s):

Neural Systems ◽

Fuzzy Neural ◽

Learning And Adaptation ◽

Somatic Learning

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Adaptive robust control based on T-S fuzzy-neural systems for a hypersonic vehicle

2011 International Conference on Electrical and Control Engineering ◽

10.1109/iceceng.2011.6057682 ◽

2011 ◽

Author(s):

Qu Xin ◽

Ren Zhang

Keyword(s):

Robust Control ◽

Hypersonic Vehicle ◽

Adaptive Robust Control ◽

Neural Systems ◽

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Event-Based Secure Leader-Following Consensus Control for Multiagent Systems With Multiple Cyber Attacks

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.2970556 ◽

2021 ◽

Vol 51 (1) ◽

pp. 162-173 ◽

Author(s):

Jinliang Liu ◽

Tingting Yin ◽

Dong Yue ◽

Hamid Reza Karimi ◽

Jinde Cao

Keyword(s):

Multiagent Systems ◽

Cyber Attacks ◽

Consensus Control ◽

Leader Following ◽

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Event-Based Dissipative Filtering of Markovian Jump Neural Networks Subject to Incomplete Measurements and Stochastic Cyber-Attacks

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2019.2946838 ◽

2019 ◽

pp. 1-10 ◽

Author(s):

Yong Xu ◽

Zheng-Guang Wu ◽

Ya-Jun Pan

Keyword(s):

Neural Networks ◽

Cyber Attacks ◽

Markovian Jump ◽

Event Based ◽

Dissipative Filtering ◽

Markovian Jump Neural Networks

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