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  5. Strong γ-γ H∞ stabilization for networked control systems under denial of service attacks

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Article
English
2019

Strong γ-γ H∞ stabilization for networked control systems under denial of service attacks

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English
2019
Journal of the Franklin Institute
Vol 356 (5)
DOI: 10.1016/j.jfranklin.2018.12.019

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Qinglong Qinglong Han
Qinglong Qinglong Han

Swinburne University Of Technology

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Yanfei Zhu
Fuwen Yang
Chuanjiang Li
+2 more

Abstract

This paper is concerned with the strong γc -γcl H ∞ stabilization problem for networked control systems (NCSs) subject to denial of service (DoS) attacks, which are common attack behaviors that affect the packet transmission of measurement or control signals. The purpose of the problem under consideration is to design a stable dynamic output feedback (DOF) controller (strong stabilizing controller) with the prescribed H ∞ performance norm bound γc to tolerate multiple packet dropouts caused by DoS attacks, such that, the closed-loop system is mean-square stable and captures the H ∞ disturbance attenuation norm bound γcl . Based on the Lyapunov functional and the stochastic control approach, some sufficient conditions with the form of matrix inequalities for the existence of the desired stable DOF controller are established. Then, by an orthogonal complement space technique, the controller gain is parameterized. Next, an iterative linear matrix inequality (LMI) algorithm is developed to obtain the controller gain. Finally, the usefulness of the proposed method is indicated by a numerical simulation example.

How to cite this publication

Yanfei Zhu, Fuwen Yang, Chuanjiang Li, Yilian Zhang, Qinglong Qinglong Han (2019). Strong γ-γ H∞ stabilization for networked control systems under denial of service attacks. Journal of the Franklin Institute, 356(5), pp. 2723-2741, DOI: 10.1016/j.jfranklin.2018.12.019.

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Publication Details

Type

Article

Year

2019

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

Journal of the Franklin Institute

DOI

10.1016/j.jfranklin.2018.12.019

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