

FOLLOWUS
1.Department of Mathematics, Alagappa University, Karaikudi 630 003, Tamil Nadu, India
2.Ramanujan Centre for Higher Mathematics, Alagappa University, Karaikudi 630 003, Tamil Nadu, India
3.Research Center for Wind Energy Systems, Kunsan National University, Gunsan 573-701, Republic of Korea
4.School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China
‡Corresponding author
Received:30 April 2022,
Accepted:24 August 2022,
Published:0 April 2023
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Stephen AROCKIA SAMY, Raja RAMACHANDRAN, Pratap ANBALAGAN, et al. Synchronization of nonlinear multi-agent systems using a non-fragile sampled data control approach and its application to circuit systems[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(4): 553-566.
Stephen AROCKIA SAMY, Raja RAMACHANDRAN, Pratap ANBALAGAN, et al. Synchronization of nonlinear multi-agent systems using a non-fragile sampled data control approach and its application to circuit systems[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(4): 553-566. DOI: 10.1631/FITEE.2200181.
设计了一个非脆弱采样数据控制方案,用于互连耦合电路系统(多智能体系统)的渐近同步标准。该方案对所考虑的多智能体系统在时变延迟情况下作同步分析。通过构建合适的李亚普诺夫函数,得出线性矩阵不等式成立的充分条件,确保多智能体领导者和跟随者系统之间的同步。最后,给出两个数值案例,展示了该控制方案的有效性和所提李亚普诺夫函数的较低保守性。
The main aim of this work is to design a non-fragile sampled data control (NFSDC) scheme for the asymptotic synchronization criteria for interconnected coupled circuit systems (multi-agent systems
MASs). NFSDC is used to conduct synchronization analysis of the considered MASs in the presence of time-varying delays. By constructing suitable Lyapunov functions
sufficient conditions are derived in terms of linear matrix inequalities (LMIs) to ensure synchronization between the MAS leader and follower systems. Finally
two numerical examples are given to show the effectiveness of the proposed control scheme and less conservation of the proposed Lyapunov functions.
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