Output feedback-based consensus control for nonlinear time delay multiagent systems

Automatica ◽  
2020 ◽  
Vol 111 ◽  
pp. 108669 ◽  
Author(s):  
Kuo Li ◽  
Chang-Chun Hua ◽  
Xiu You ◽  
Xin-Ping Guan
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.


Automatica ◽  
2021 ◽  
Vol 127 ◽  
pp. 109545
Author(s):  
Yafeng Li ◽  
Ju H. Park ◽  
Changchun Hua ◽  
Guopin Liu

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Cun Wang ◽  
Xisheng Dai ◽  
Kene Li ◽  
Zupeng Zhou

This paper considers the consensus control problem of nonlinear spatial-temporal hyperbolic partial difference multiagent systems and parabolic partial difference multiagent systems with time delay. Based on the system’s own fixed topology and the method of generating the desired trajectory by introducing virtual leader, using the consensus tracking error between the agent and the virtual leader agent and neighbor agents in the last iteration, an iterative learning algorithm is proposed. The sufficient condition for the system consensus error to converge along the iterative axis is given. When the iterative learning number k approaches infinity, the consensus error in the sense of the L 2 norm between all agents in the system will converge to zero. Furthermore, simulation results illustrate the effectiveness of the algorithm.


Author(s):  
Sandeep Kumar Soni ◽  
Xiaogang Xiong ◽  
Ankit Sachan ◽  
Shyam Kamal ◽  
Sandip Ghosh

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