Hybrid Event-Triggered Filtering for Nonlinear Markov Jump Systems With Stochastic Cyber-Attacks

Hybrid Event-Triggered Filtering for Nonlinear Markov Jump Systems With Stochastic Cyber-Attacks

This paper studies the problem of H filtering for nonlinear Markov jump systems based on Takagi-Sugeno model. Firstly, we propose a hybrid event-triggered mechanism with an adjustable threshold, which not only helps to save more limited communication resources, but also excludes Zeno behavior while...

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Bibliographic Details
Main Authors: Wenqian Xie, Yong Zeng, Kaibo Shi, Xin Wang, Qianhua Fu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Markov jump systems
Takagi-Sugeno (T-S) fuzzy systems
adaptive event-triggered mechanism
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H</italic>∞ filtering
cyber-attacks
Online Access:https://ieeexplore.ieee.org/document/9302572/

Internet

https://ieeexplore.ieee.org/document/9302572/

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