Bounded consensus for multiagent systems by event‐triggered data transmission, time delay, and predictor‐based control

2019 ◽  
Vol 30 (2) ◽  
pp. 804-823
Author(s):  
Yanliang Cui ◽  
Lanlan Xu
Keyword(s):  
Time Delay ◽  
Multiagent Systems ◽  
Data Transmission ◽  
Transmission Time ◽  
Event Triggered

Input Time Delay Margin in Event-Triggered Consensus of Multiagent Systems

2019 ◽  
Vol 49 (5) ◽  
pp. 1849-1858 ◽  
Author(s):  
Nankun Mu ◽  
Yonghui Wu ◽  
Xiaofeng Liao ◽  
Tingwen Huang
Keyword(s):  
Time Delay ◽  
Multiagent Systems ◽  
Input Time ◽  
Delay Margin ◽  
Event Triggered

Adaptive event-triggered control for master-slave switched systems subject to attacked state-dependent switching law

2021 ◽  
pp. 014233122098594
Author(s):  
Lingcong Nie ◽  
Xindi Xu ◽  
Yan Li ◽  
Weiyu Jiang ◽  
Yiwen Qi ◽  
...  
Keyword(s):  
Time Delay ◽  
Switched Systems ◽  
System Performance ◽  
Actuator Saturation ◽  
Sufficient Conditions ◽  
Switched System ◽  
Switching Law ◽  
Variable Threshold ◽  
Event Triggering ◽  
Event Triggered

This paper investigates adaptive event-triggered [Formula: see text] control for network-based master-slave switched systems subject to actuator saturation and data injection attacks. It is an important and unrecognised issue that the switching signal is affected from both event-triggering scheme and network attacks. An adaptive event-triggering scheme is proposed that can adjust the triggering frequency through a variable threshold based on system performance. Furthermore, considering the impacts of transmission delays and actuator saturation, an event-triggered time-delay error switched system is developed. Subsequently, by utilizing piecewise Lyapunov functional technique, sufficient conditions are derived to render the time-delay error switched system to have an [Formula: see text] performance level. In particular, the coupling between switching instants and data updating instants is analyzed during the system performance analysis. Moreover, sufficient conditions for the desired state-feedback controller gains and event-triggering parameter are presented. Finally, a numerical example is given to verify the effectiveness of the proposed method.

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