目标不确定异构非线性切换时滞多智能体系统同步的单调递减LKF方法

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED
Qiao Tong , Xinsong Yang , Changjun Gu , Yaping Sun , Housheng Su
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引用次数: 0

摘要

研究了目标不确定的异构非线性切换时滞多智能体系统的同步问题。由于系统的异构、非线性和切换特性,考虑agent之间的不同时滞和目标上的未知输入对实现同步提出了巨大的挑战。为了解决这一具有挑战性的问题,设计了一种新的协议,该协议结合了分布式观测器、分布式控制器和时变正定矩阵函数来估计目标状态并补偿智能体之间的误差。此外,通过提出一种新颖的Lyapunov-Krasovskii泛函(LKF),不仅得到了同步准则,而且具有一个有趣的特性:LKF在任何时间,甚至在任何切换时刻都是单调递减的。最后,以异质切换蔡氏电路和柔性关节机器人为例,验证了新协议和LKF的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monotone decreasing LKF method for synchronization of heterogeneous nonlinear switched time-delay multi-agent systems with an uncertain target
This paper investigates the synchronization problem of heterogeneous nonlinear switched time-delay multi-agent systems (MASs) with an uncertain target. Due to the heterogeneous, nonlinear, and switching features, considering different time-delays among agents and unknown inputs on the target poses a huge challenge in achieving synchronization. To solve this challenging issue, a new protocol that incorporates distributed observers, distributed controllers, and a time-varying positive-definite matrix function is designed to estimate the states of the target and compensate for errors among agents. Moreover, by proposing a novel Lyapunov–Krasovskii functional (LKF), this paper not only obtains synchronization criteria but also has an interesting characteristic: the LKF is monotonically decreasing at any time, even at any switching instants. Finally, as some applications, heterogeneous switched Chua’s circuits and flexible-joint robots are given to demonstrate the effectiveness of the proposed new protocol and LKF.
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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