Data‐driven optimal event‐triggered consensus control for unknown nonlinear multiagent systems with control constraints

2019 ◽  
Vol 29 (14) ◽  
pp. 4828-4844 ◽  
Author(s):  
Huaipin Zhang ◽  
Ju H. Park ◽  
Dong Yue ◽  
Chunxia Dou
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.


2020 ◽  
Vol 357 (6) ◽  
pp. 3219-3234 ◽  
Author(s):  
Yanna Shi ◽  
Huaicheng Yan ◽  
Shiming Chen ◽  
Xisheng Zhan ◽  
Liang He

2019 ◽  
Vol 49 (6) ◽  
pp. 2095-2105 ◽  
Author(s):  
Huaipin Zhang ◽  
Dong Yue ◽  
Chunxia Dou ◽  
Wei Zhao ◽  
Xiangpeng Xie

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