The finite-time average consensus problems in multi-agent systems with switching topology

2018 ◽  
Author(s):  
Xiaobo Wang ◽  
Juelong Li ◽  
Zhikai Fu ◽  
Jianchun Xing ◽  
Ronghao Wang
Keyword(s):  
Finite Time ◽  
Switching Topology ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Average Consensus ◽  
Multi Agent ◽  
Time Average

scholarly journals Limited-budget finite-time average consensus design for multi-agent systems

2020 ◽  
Vol 14 (15) ◽  
pp. 2197-2204
Author(s):  
Le Wang ◽  
Jianxiang Xi ◽  
Zhiyong Yu ◽  
Xia Liu ◽  
Guangbin Liu
Keyword(s):  
Finite Time ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Limited Budget ◽  
Average Consensus ◽  
Multi Agent ◽  
Time Average

Finite-time consensus of input delayed multi-agent systems via non-fragile controller subject to switching topology

2019 ◽  
Vol 325 ◽  
pp. 225-233 ◽  
Author(s):  
R. Sakthivel ◽  
S. Kanakalakshmi ◽  
B. Kaviarasan ◽  
Yong-Ki Ma ◽  
A. Leelamani
Keyword(s):  
Finite Time ◽  
Switching Topology ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Finite-Time Consensus of Nonlinear Multi-Agent Systems via Impulsive Time Window Theory: A Two-Stage Control Strategy

2021 ◽  
Author(s):  
Teng Long ◽  
SS Yang ◽  
Qianzhu Wang ◽  
Lianghao Ji ◽  
Xiaofeng Liao
Keyword(s):  
Finite Time ◽  
Impulsive Control ◽  
Time Window ◽  
Control Period ◽  
Switching Topology ◽  
Multi Agent Systems ◽  
Two Stage ◽  
Agent Systems ◽  
Control Stage ◽  
Multi Agent

Abstract This paper concentrates on the problem of finite-time consensus of nonlinear multi-agent systems (MASs) via impulsive time window theory: a two-stage control (TSC) strategy. The TSC divide the whole control period into two parts, separately variable impulsive control stage and finite-time consensus control stage. Different from the general single-stage control, TSC can adjust the time period of impulsive control and finite-time control dynamically according to the practical application requirements. The variable impulsive control is also discussed in this paper. Comparing with the traditional fixed impulsive theory, the impulsive sampling time occurs randomly within the impulsive time window, providing much more flexibility to the system. In addition, the switching topology scheme is introduced in this paper to strengthen the stability of the MASs. Finally, two numerical simulation examples on the leaderless case and leader-following case are given to demonstrate the theoretical analysis.

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