A novel equivalent reciprocal convex combination technique to sampled-data master–slave synchronization for chaotic Lur'e systems with time-varying delays

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Asian Journal of Control Pub Date : 2024-06-02 DOI:10.1002/asjc.3412
Wenchengyu Ji, Yulian Jiang, Shenquan Wang
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Abstract

For a class of master–slave (M-S) systems in chaotic Lur'e systems with time-varying delays, a sampled-data synchronization controller is designed, and a new synchronization stability condition is proposed in the form of linear matrix inequality. A novel Lyapunov-Krasovskii functional (LKF) is constructed by using the looped-functional method, and the positive definiteness condition of LKF including sampled-data parts is exchanged with a looping condition by constructing a functional, which should be equal at adjacent sampling times. The M-S synchronization condition is obtained utilizing the equivalent reciprocal convex combination approach combined with Bessel-Legendre integral inequality to estimate the LKF derivative. Different from previous methods, due to fully utilizing both nonlinearity and state information at the sampling time via the integral of error systems from the sampling time to current one, the M-S synchronization condition is less conservative, and obtained sampled-data controller possesses a longer sampling period. Finally, two numerical examples verify the superiority and validity of the approach.

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具有时变延迟的混沌 Lur'e 系统采样数据主从同步的新型等效互凸组合技术
针对具有时变延迟的混沌鲁尔系统中的一类主从(M-S)系统,设计了一种采样数据同步控制器,并以线性矩阵不等式的形式提出了一种新的同步稳定性条件。利用循环函数法构建了新的 Lyapunov-Krasovskii 函数 (LKF),并通过构建一个在相邻采样时间应相等的函数,将 LKF 包括采样数据部分的正定条件与循环条件进行了交换。利用等效倒凸组合方法结合贝塞尔-列根德积分不等式来估计 LKF 导数,从而获得 M-S 同步条件。与以往方法不同的是,由于通过从采样时间到当前采样时间的误差系统的积分,充分利用了采样时间的非线性和状态信息,M-S 同步条件不那么保守,得到的采样数据控制器具有更长的采样周期。最后,两个数值实例验证了该方法的优越性和有效性。
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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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