Identification of FIR systems with binary-valued observations against denial-of-service attacks-Reference-Cited by-同舟云学术

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Identification of FIR systems with binary-valued observations against denial-of-service attacks

Published:2023-08 Issue: Volume:450 Page:127989
ISSN:0096-3003
Container-title:Applied Mathematics and Computation
language:en
Short-container-title:Applied Mathematics and Computation

Author:

Guo Jin,Jia Ruizhe,Su Ruinan,Zhao Yanlong,Song Yong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference30 articles.

1. Cyber-physical systems: the next computing revolution;Rajkumar,2010

2. On the performance degradation of cyber-physical systems under stealthy integrity attacks;Mo;IEEE Trans. Automat. Contr.,2016

3. Prediction-based event-triggered identification of quantized input fir systems with quantized output observations;Guo;Sci. China Inf. Sci.,2020

4. Blockchain for cybersecurity in smart grid: a comprehensive survey;Zhuang;IEEE Trans. Ind. Inform.,2021

5. Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions;Wan;IEEE Commun. Mag.,2014

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2. Stability and consistency for networked multiagent systems with double-Layered game under multiple DoS attacks;Applied Mathematics and Computation;2023-12

3. Asymptotic consensus of multi-agent systems under binary-valued observations and observation uncertainty;Systems & Control Letters;2023-12

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