多代理系统在丢包和欺骗攻击下的可达集估计

IF 2.4 3区 数学 Q1 MATHEMATICS
V. M. Janani, B. Visakamoorthi, P. Muthukumar, Sung-ho Hur
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引用次数: 0

摘要

本文探讨了具有 Lipschitz 非线性动力学和有界外部干扰的多智能体系统的无领导共识中的可达集估计问题。首先,本文引入了采样数据控制,以解决易受欺骗攻击和丢包影响的非线性多代理系统的共识问题。然后,在主 Lyapunov 项中考虑了不同程度的非周期性采样。通过设计合适的控制器,建立了保证多代理的所有实际状态(从初始状态开始)都能被约束在给定椭圆集内的充分条件。此外,还利用双面循环函数和基于 Wirtinger 不等式的非连续 Lyapunov-Krasovskii 函数,建立了线性矩阵不等式的共识控制设计。最后,数值部分验证了所提控制方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Reachable set estimation of multi-agent systems under packet losses and deception attacks

Reachable set estimation of multi-agent systems under packet losses and deception attacks

This paper considers the problem of estimating reachable set in leaderless consensus for multi-agent systems with Lipschitz nonlinear dynamics and bounded external disturbances. Initially, a sampled-data control is introduced to address the consensus of nonlinear multi-agent systems vulnerable to deception attacks and packet dropouts, which occur randomly during sampling intervals. Then, aperiodic sampling in various degrees is taken into account in the primary Lyapunov term. Sufficient conditions to guarantee that all the actual states of the multi-agent, starting from the initial state, can be bounded within a given ellipsoid set are established by designing a suitable controller. Moreover, the consensus control design is established as linear matrix inequalities, utilizing a two-sided looped functional and Wirtinger’s inequality-based discontinuous Lyapunov–Krasovskii functional. Finally, the numerical section validates the applicability of the proposed control method.

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来源期刊
Journal of Applied Mathematics and Computing
Journal of Applied Mathematics and Computing Mathematics-Computational Mathematics
CiteScore
4.20
自引率
4.50%
发文量
131
期刊介绍: JAMC is a broad based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. Major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptograhics, fuzzy theory with applications, differential equations with applications are all included. A large variety of scientific problems also necessarily involve Algebra, Analysis, Geometry, Probability and Statistics and so on. The journal welcomes research papers in all branches of mathematics which have some bearing on the application to scientific problems, including papers in the areas of Actuarial Science, Mathematical Biology, Mathematical Economics and Finance.
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