Observer-based adaptive secure control with nonlinear gain recursive sliding-mode for networked non-affine nonlinear systems under DoS attacks

Yang Yang; Qing Meng; Dong Yue; Tengfei Zhang; Bo Zhao; Xiaolei Hou

Kybernetika (2020)

  • Volume: 56, Issue: 2, page 298-322
  • ISSN: 0023-5954

Abstract

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We address the secure control issue of networked non-affine nonlinear systems under denial of service (DoS) attacks. As for the situation that the system information cannot be measured in specific period due to the malicious DoS attacks, we design a neural networks (NNs) state observer with switching gain to estimate internal states in real time. Considering the error and dynamic performance of each subsystem, we introduce the recursive sliding mode dynamic surface method and a nonlinear gain function into the secure control strategy. The relationship between the frequency (duration) of DoS attacks and the stability of the system is established by the average dwell time (ADT) method. It is proven that the system can withstand the influence of DoS attacks and track the desired trajectory while preserving the boundedness of all closed-loop signals. Finally, simulation results are provided to verify the effectiveness of the proposed secure control strategy.

How to cite

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Yang, Yang, et al. "Observer-based adaptive secure control with nonlinear gain recursive sliding-mode for networked non-affine nonlinear systems under DoS attacks." Kybernetika 56.2 (2020): 298-322. <http://eudml.org/doc/296947>.

@article{Yang2020,
abstract = {We address the secure control issue of networked non-affine nonlinear systems under denial of service (DoS) attacks. As for the situation that the system information cannot be measured in specific period due to the malicious DoS attacks, we design a neural networks (NNs) state observer with switching gain to estimate internal states in real time. Considering the error and dynamic performance of each subsystem, we introduce the recursive sliding mode dynamic surface method and a nonlinear gain function into the secure control strategy. The relationship between the frequency (duration) of DoS attacks and the stability of the system is established by the average dwell time (ADT) method. It is proven that the system can withstand the influence of DoS attacks and track the desired trajectory while preserving the boundedness of all closed-loop signals. Finally, simulation results are provided to verify the effectiveness of the proposed secure control strategy.},
author = {Yang, Yang, Meng, Qing, Yue, Dong, Zhang, Tengfei, Zhao, Bo, Hou, Xiaolei},
journal = {Kybernetika},
keywords = {networked control system; secure control; adaptive control; dynamic surface control},
language = {eng},
number = {2},
pages = {298-322},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Observer-based adaptive secure control with nonlinear gain recursive sliding-mode for networked non-affine nonlinear systems under DoS attacks},
url = {http://eudml.org/doc/296947},
volume = {56},
year = {2020},
}

TY - JOUR
AU - Yang, Yang
AU - Meng, Qing
AU - Yue, Dong
AU - Zhang, Tengfei
AU - Zhao, Bo
AU - Hou, Xiaolei
TI - Observer-based adaptive secure control with nonlinear gain recursive sliding-mode for networked non-affine nonlinear systems under DoS attacks
JO - Kybernetika
PY - 2020
PB - Institute of Information Theory and Automation AS CR
VL - 56
IS - 2
SP - 298
EP - 322
AB - We address the secure control issue of networked non-affine nonlinear systems under denial of service (DoS) attacks. As for the situation that the system information cannot be measured in specific period due to the malicious DoS attacks, we design a neural networks (NNs) state observer with switching gain to estimate internal states in real time. Considering the error and dynamic performance of each subsystem, we introduce the recursive sliding mode dynamic surface method and a nonlinear gain function into the secure control strategy. The relationship between the frequency (duration) of DoS attacks and the stability of the system is established by the average dwell time (ADT) method. It is proven that the system can withstand the influence of DoS attacks and track the desired trajectory while preserving the boundedness of all closed-loop signals. Finally, simulation results are provided to verify the effectiveness of the proposed secure control strategy.
LA - eng
KW - networked control system; secure control; adaptive control; dynamic surface control
UR - http://eudml.org/doc/296947
ER -

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