Leader-Following Mean-Square Consensus of Stochastic Multiagent Systems With ROUs and RONs via Distributed Event-Triggered Impulsive Control

2020 ◽  
pp. 1-14
Author(s):  
Zhenhua Zhang ◽  
Shiguo Peng ◽  
Derong Liu ◽  
Yonghua Wang ◽  
Tao Chen
Keyword(s):  
Multiagent Systems ◽  
Impulsive Control ◽  
Mean Square ◽  
Leader Following ◽  
Event Triggered ◽  
Mean Square Consensus

scholarly journals Construction of Adaptive Consensus Gains for Multiagent Systems with Multiplicative Noise

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Shoubo Jin ◽  
Qiuju Yu
Keyword(s):  
Time Delay ◽  
Multiagent Systems ◽  
Directed Graph ◽  
Multiplicative Noise ◽  
Communication Delay ◽  
Mean Square ◽  
Inaccurate Information ◽  
Leader Following ◽  
The Mean ◽  
Mean Square Consensus

The leader-following consensus of linear multiagent systems with multiplicative noise and adaptive gains is investigated under the fixed directed graph. Because of multiplicative noise, the agents interacting with the leader can only obtain the inaccurate information. Firstly, this paper designs the adaptive gains of multiagent systems, which can converge to some fixed values and force the states to synchronize. Different from the mandatory gains, the adaptive gains depend on the states of agents and can be adjusted with the change of states. Secondly, it is shown that the multiagent systems without time delay can obtain mean square consensus under the adaptive gains. Moreover, in the presence of multiplicative noise and communication delay, the mean square consensus is also acquired in the same adaptive gains. Finally, the validity of the conclusion is simulated by an example.

scholarly journals Event-Triggered Consensus Control for Leader-Following Multiagent Systems Using Output Feedback

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Yang Liu ◽  
Xiaohui Hou
Keyword(s):  
Multiagent Systems ◽  
Output Feedback ◽  
Output Signal ◽  
Internal State ◽  
Disturbance Attenuation ◽  
External Disturbances ◽  
Consensus Control ◽  
State Information ◽  
Leader Following ◽  
Event Triggered

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.

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