Distributed interval state estimation with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e589" altimg="si3.svg"><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math>-gain optimization for cyber–physical systems subject to bounded disturbance and random stealthy attacks-Reference-Cited by-同舟云学术

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Distributed interval state estimation with l∞-gain optimization for cyber–physical systems subject to bounded disturbance and random stealthy attacks

Published:2022-08 Issue: Volume:127 Page:22-31
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Xie Jiyang^ORCID,Zhu Shuqian,Zhang Dawei^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference50 articles.

1. Secure estimation and control for cyber–physical systems under adversarial attacks;Fawzi;IEEE Trans Automat Control,2014

2. A survey on model-based distributed control and filtering for industrial cyber–physical systems;Ding;IEEE Trans Indust Inform,2019

3. A survey on attack detection, estimation and control of industrial cyber–physical systems;Zhang;ISA Trans,2021

4. Secure state estimation and control of cyber–physical systems: a survey;Ding;IEEE Trans Syst Man Cybern Syst,2021

5. Olfati-Saber R. Distributed Kalman filtering for sensor networks. In: Proceedings of the 46th IEEE conference on decision and control, Vol. 1-14. New Orleans, LA, USA; 2007, p. 1814–20.

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