Synchronization of nonlinear multi-agent systems using a non-fragile sampled data control approach and its application to circuit systems

2023, Volume 24, Issue 4

Abstract

Keywords

Related Research

Frontiers of Information Technology & Electronic Engineering >> 2023, Volume 24, Issue 4 doi: 10.1631/FITEE.2200181

Synchronization of nonlinear multi-agent systems using a non-fragile sampled data control approach and its application to circuit systems

Affiliation(s): Department of Mathematics, Alagappa University, Karaikudi 630 003, Tamil Nadu, India; Ramanujan Centre for Higher Mathematics, Alagappa University, Karaikudi 630 003, Tamil Nadu, India; Research Center for Wind Energy Systems, Kunsan National University, Gunsan 573-701, Republic of Korea; School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China; less

Received: 2022-04-30 Accepted: 2023-05-06 Available online: 2023-05-06

HTML13 PDF 24 Collect 0

Next Previous

Abstract

The main aim of this work is to design a scheme for the 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 s. 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.

Keywords

Multi-agent systems (MASs) ; Non-fragile sampled data control (NFSDC) ; Time-varying delay ; Linear matrix inequality (LMI) ; Asymptotic synchronization

Related Research