当前位置: X-MOL 学术Nonlinear Anal. Hybrid Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Non-fragile sampled data control for stabilization of non-linear multi-agent system with additive time varying delays, Markovian jump and uncertain parameters
Nonlinear Analysis: Hybrid Systems ( IF 4.2 ) Pub Date : 2020-05-01 , DOI: 10.1016/j.nahs.2019.100830
M. Syed Ali , R. Agalya , Vineet Shekher , Young Hoon Joo

Abstract This paper establishes a novel non-fragile sampled data control framework for non linear multi-agent systems with additive time varying delays and Markovian jump parameters. The Laplacian matrix represents the interconnection between the agents which are denoted by an undirected graph. Relevant Lyapunov Krasovskii functional (LKF) is constructed which contain major information about the additive time-varying delays. The major goal of this paper is to model a non-fragile sampled-data control scheme which guarantees the stabilization for the proposed system. Apart from that, the Jensen’s and some improved integral inequalities are used for deriving the derivatives of LKFs with single, double and triple integral terms and the adequate conditions are expressed in terms of linear matrix inequalities. At last two numerical examples are given to verify the theoretical results.

中文翻译:

具有附加时变延迟、马尔可夫跳跃和不确定参数的非线性多智能体系统稳定的非脆弱采样数据控制

摘要 本文为具有加性时变延迟和马尔可夫跳跃参数的非线性多智能体系统建立了一种新的非脆弱采样数据控制框架。拉普拉斯矩阵表示代理之间的互连,由无向图表示。构建了相关的 Lyapunov Krasovskii 泛函 (LKF),其中包含有关附加时变延迟的主要信息。本文的主要目标是模拟一个非脆弱的采样数据控制方案,以保证所提出的系统的稳定性。除此之外,Jensen 不等式和一些改进的积分不等式用于推导具有单、双和三积分项的 LKFs 的导数,并且充分条件用线性矩阵不等式表示。
更新日期:2020-05-01
down
wechat
bug