Event‐triggered mean square consensus of linear multiagent systems with measurement noises

2020 ◽  
Author(s):  
Meiyan Cong ◽  
Xiaowu Mu ◽  
Zenghui Hu
Keyword(s):  
Multiagent Systems ◽  
Mean Square ◽  
Measurement Noises ◽  
Event Triggered ◽  
Mean Square Consensus

scholarly journals Mean Square Consensus for Uncertain Multiagent Systems with Noises and Delays

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Yuangong Sun
Keyword(s):  
Multiagent Systems ◽  
Stochastic Analysis ◽  
Matrix Theory ◽  
Time Varying ◽  
Mean Square ◽  
Numerical Examples ◽  
Measurement Noises ◽  
Approximation Type ◽  
Theoretical Results ◽  
Mean Square Consensus

This paper investigates the consensus problem in mean square for uncertain multiagent systems with stochastic measurement noises and symmetric or asymmetric time-varying delays. By combining the tools of stochastic analysis, algebraic graph theory, and matrix theory, we analyze the convergence of a class of distributed stochastic approximation type protocols with time-varying consensus gains. Numerical examples are also given to illustrate the theoretical results.

scholarly journals Multiagent Consensus Control under Network-Induced Constraints

2013 ◽  
Vol 2013 ◽  
pp. 1-4
Author(s):  
Won Il Kim ◽  
Rong Xiong ◽  
Qiuguo Zhu ◽  
Jun Wu
Keyword(s):  
Multiagent Systems ◽  
Information Exchange ◽  
Design Procedure ◽  
Mean Square ◽  
Markov Jump ◽  
Consensus Control ◽  
Markov Jump System ◽  
System Method ◽  
Necessary And Sufficient ◽  
Mean Square Consensus

Mean consensus problem is studied using a class of discrete time multiagent systems in which information exchange is subjected to some network-induced constraints. These constraints include package dropout, time delay, and package disorder. Using Markov jump system method, the necessary and sufficient condition of mean square consensus is obtained and a design procedure is presented such that multiagent systems reach 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.

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