基于变增量自由加权矩阵的时变延迟不确定线性系统的鲁棒稳定性和 H∞$$ {H}_{\infty }基于可变增量自由加权矩阵的时变延迟不确定线性系统的 $$ 性能评估

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Asian Journal of Control Pub Date : 2024-07-03 DOI:10.1002/asjc.3459
Dong‐Shuai Chen, Xing‐Chen Shangguan, Yong He
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摘要

本文研究了时变延迟不确定线性系统(TVDULS)的鲁棒性稳定性和性能评估问题。首先,为了获得 TVDULS 的改进鲁棒延迟依赖条件,建立了新的增强 Lyapunov-Krasovskii 函数(LKF),并定制了基于变量增强的自由加权矩阵(VAFWMs)技术来评估函数导数。与现有的鲁棒稳定性方法相比,所构建的函数充分考虑了系统的时间延迟信息,并提供了更多的延迟交叉项,其中相应的矩阵用于放松稳定性条件中的线性矩阵不等式约束。同时,VAFWMs 方法充分考虑了函数导数中一些延迟积分项的线性关系,避免了使用二次阶或更高阶的时间延迟项。然后,在所提出的鲁棒稳定性条件的基础上,得到了 TVDULSs 抗干扰的改进性能分析准则。在给定的性能水平下,所提出的准则提供了不确定线性系统可容忍的最大延迟上限。最后,通过两个数值实例验证了所获方法的有效性和优越性。
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Robust stability and H∞$$ {H}_{\infty } $$ performance evaluation for time‐varying‐delayed uncertain linear systems based on variable‐augmented‐based free‐weighting matrices
The problem of the robust stability and performance evaluation of time‐varying‐delayed uncertain linear systems (TVDULSs) is studied in this article. At first, to obtain a modified robust delay‐dependent condition of TVDULSs, a novel augmented Lyapunov‐Krasovskii functional (LKF) is established, and a variable‐augmented‐based free‐weighting matrices (VAFWMs) technique is tailored to evaluate the functional derivative. Compared with the existing robust stability methods, the constructed functional takes fully time delay information of the system into consideration and provides more delay‐cross terms, where the corresponding matrices are used to relax the constraints of linear matrix inequalities in the stability condition. Also, the VAFWMs method fully considers the linear relation of some delayed integral terms in the functional derivative, which avoids the usage of a quadratic order or higher order terms of the time delay. Then, an improved performance analysis criterion of TVDULSs is obtained against the disturbance on the basis of the proposed robust stability condition. The admissible maximal delay upper bounds that the uncertain linear system can tolerate are provided by proposed criterion under a given performance level. At last, two numerical examples are presented to verify the effectiveness and the superiority of the methods obtained.
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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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