This chapter investigates the event-triggered anti-disturbance secure complete consensusComplete consensus problem for nonlinear multi-agent systems (MASs) subjected to denial-of-service (DoS) attacks over an undirected graphUndirected graph. A novel adaptive memory state observer-based anti-disturbance control scheme is presented to improve the observer accuracy by incorporating a buffer for the system output measurements. Meanwhile, this control strategy can offer more reasonable control signals in the event of DoS attacks. Compared with the disturbance observer-based controller in Chap.  3 , this control scheme designs the state observer to remove the assumption that the state is measurable. It is worth mentioning that the updates of the adopted adaptive memory event-triggered mechanism (AMETM) do not require global information. Then, the observer and controller gains are obtained by using the LMI technique.

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Anti-disturbance Control of MASs Under DoS Attacks by Output Feedback

  • Xiang-Gui Guo,
  • Pei-Ming Liu,
  • Dong-Yu Zhang,
  • Jian-Liang Wang,
  • Lei Guo

摘要

This chapter investigates the event-triggered anti-disturbance secure complete consensusComplete consensus problem for nonlinear multi-agent systems (MASs) subjected to denial-of-service (DoS) attacks over an undirected graphUndirected graph. A novel adaptive memory state observer-based anti-disturbance control scheme is presented to improve the observer accuracy by incorporating a buffer for the system output measurements. Meanwhile, this control strategy can offer more reasonable control signals in the event of DoS attacks. Compared with the disturbance observer-based controller in Chap.  3 , this control scheme designs the state observer to remove the assumption that the state is measurable. It is worth mentioning that the updates of the adopted adaptive memory event-triggered mechanism (AMETM) do not require global information. Then, the observer and controller gains are obtained by using the LMI technique.