Observer-Based Output Feedback Event-Triggered Adaptive Control for Linear Multiagent Systems Under Switching Topologies

Author(s):  
Juan Zhang ◽  
Huaguang Zhang ◽  
Kun Zhang ◽  
Yuliang Cai

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Yang Liu ◽  
Xiaohui Hou

The event-triggered consensus control for leader-following multiagent systems subjected to external disturbances is investigated, by using the output feedback. In particular, a novel distributed event-triggered protocol is proposed by adopting dynamic observers to estimate the internal state information based on the measurable output signal. It is shown that under the developed observer-based event-triggered protocol, multiple agents will reach consensus with the desired disturbance attenuation ability and meanwhile exhibit no Zeno behaviors. Finally, a simulation is presented to verify the obtained results.





2021 ◽  
Vol 395 ◽  
pp. 125879
Author(s):  
Lihua Tan ◽  
Chuandong Li ◽  
Junjian Huang ◽  
Tingwen Huang


2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Gaosen Dong ◽  
Chunde Yang ◽  
Wei Zhu

Event-triggered average consensus of multiagent systems with switching topologies is studied in this paper. A distributed protocol based on event-triggered time sequences and switching time sequences is designed. Based on the inequality technique and stability theory of differential equations, a sufficient condition for achieving average consensus is obtained under the assumption that switching signal is ergodic and the total period over which connected topologies is sufficiently large. A numerical simulation is presented to show the effectiveness of the theoretical results.



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