Velocity-free impulsive consensus for second-order Lipschitz nonlinear multi-agent systems under external disturbances

IF 4.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Wu-Hua Chen , Yating Liang , Shuning Niu , Xiaoyun Lu
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引用次数: 0

Abstract

This paper presents novel velocity-free impulsive consensus protocols for second-order multi-agent systems (MASs) subject to Lipschitz nonlinear dynamics, tackling the challenge of distributed impulsive control subject to missing measurements. Unlike existing velocity-dependent strategies, the proposed leaderless framework eliminates velocity reliance through two Lyapunov-based analysis techniques: (i) an augmentation-based Lyapunov technique that is able to fetch the hidden velocity information by exploiting historical sampled position information, and (ii) a Lyapunov-based iterative estimation technique for impulse-delay system to deduce the velocity-free static consensus condition. The robustness of the proposed impulsive consensus protocols against external disturbances is quantified via H performance analysis, allowing the design of robust impulsive control gains with a prescribed level on disturbance attenuation. This velocity-independent framework offers a practical solution for consensus in second-order Lipschitz nonlinear MASs with limited sensing capabilities and environmental disturbances. Numerical simulations validate its effectiveness and theoretical guarantees.
外部扰动下二阶Lipschitz非线性多智能体系统的无速度脉冲一致性
针对Lipschitz非线性动力学下的二阶多智能体系统,提出了一种新的无速度脉冲一致协议,解决了测量缺失的分布式脉冲控制问题。与现有的速度依赖策略不同,提出的无领导框架通过两种基于Lyapunov的分析技术消除了速度依赖:(i)基于增强的Lyapunov技术,该技术能够通过利用历史采样位置信息获取隐藏的速度信息;(ii)基于Lyapunov的脉冲延迟系统迭代估计技术,以推断无速度的静态一致条件。所提出的脉冲共识协议对外部干扰的鲁棒性通过H∞性能分析进行量化,允许设计具有规定干扰衰减水平的鲁棒脉冲控制增益。这种与速度无关的框架为具有有限传感能力和环境干扰的二阶Lipschitz非线性质量的一致性提供了一种实用的解决方案。数值模拟验证了该方法的有效性和理论保证。
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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