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Sampled-data controller scheme for multi-agent systems and its Application to circuit network

delete2024-02-01
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PRE
AI
A
A. Stephen
R
R. Karthikeyan
C
C. Sowmiya
R
R. Raja *
R
Ravi P. Agarwal
DOI:10.1016/j.neunet.2023.11.059delete
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摘要

摘要

En 中文
The objective of this study is to investigate the synchronization criteria under the sampled-data control method for multi-agent systems (MASs) with state quantization and time-varying delay. Currently, a looped Lyapunov- Krasovskii Functional (LKF) has been developed, which integrates information from the sampling interval to ensure that the leader system synchronizes with the follower system, resulting in a specific condition in the form of Linear Matrix Inequalities (LMIs). The LMIs can be easily solved using the LMI Control toolbox in Matlab. Finally, the proposed approach's feasibility and effectiveness are demonstrated through numerical simulations and comparative results.
Keyword:
Multi-agent systems
Sampled data
State quantization
Looped Lyapunov functional
Linear matrix inequality

期刊

Neural Networks 封面图
Neural Networks
IF:
6.3
论文数:
7.8K
被引数:
3.0W

机构

C
Chennai Institute of Technology
学者数:
943
论文数: 808
被引数: 3
T
Texas A&M University System
学者数:
4.4W
论文数: 4.0W
被引数: 4.0K
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