Stability analysis of sampled-data control systems with multiple time-varying delays

被引:13
|
作者
Luo, Haocheng [1 ]
Hu, Zechun [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2020年 / 357卷 / 11期
关键词
NETWORKED CONTROL-SYSTEMS; LINEAR-SYSTEMS; INEQUALITY; CRITERION; DESIGN;
D O I
10.1016/j.jfranklin.2020.04.021
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with the stability analysis of sampled-data control systems with a centralized controller and multiple actuators, where different controller-actuator delays exist. Via the input-delay approach, a sampled-data control system with multiple time-varying delays is modeled as a linear time-delay system. Though some existing criteria for time-delay systems can be applied to analyze the stability of the original system, the results are conservative since these criteria do not consider the sampling effects properly. To reduce the conservatism, a new looped-functional, which takes advantage of the hybrid characteristic of the sampled-data control system model, is proposed. Meanwhile, a new Lyapunov-Krasovskii functional that aims at fully benefiting from the Wirtinger-based inequality and utilizing the relationship information among the states associated with different delays is constructed. Based on the proposed functionals, a new stability condition for sampled-data control systems with multiple time-varying delays is presented in the form of linear matrix inequalities. Numerical examples are given to illustrate the advantages and effectiveness of the proposed method. (C) 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:6615 / 6634
页数:20
相关论文
共 50 条
  • [1] Dissipative sampled-data control of uncertain nonlinear systems with time-varying delays
    Selvaraj, P.
    Sakthivel, R.
    Anthoni, S. Marshal
    Rathika, M.
    Yong-Cheol, Mo
    COMPLEXITY, 2016, 21 (06) : 142 - 154
  • [2] Sampled-Data Control of Singular Systems with Time Delays
    Zheng Minjie
    Zhou Yujie
    Yang Shenhua
    Li Lina
    ABSTRACT AND APPLIED ANALYSIS, 2014,
  • [3] Tracking control for sampled-data systems with uncertain time-varying sampling intervals and delays
    van de Wouw, N.
    Naghshtabrizi, P.
    Cloosterman, M. B. G.
    Hespanha, J. P.
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2010, 20 (04) : 387 - 411
  • [4] Nonfragile Sampled-Data Control for Uncertain Networked Control Systems With Additive Time-Varying Delays
    Muthukumar, P.
    Arunagirinathan, S.
    Lakshmanan, S.
    IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (04) : 1512 - 1523
  • [5] Finite-time stabilization of switched neutral systems with time-varying delays via sampled-data control
    Lin, Xiangze
    Yang, Zhonglin
    Zhang, Wanli
    Zou, Yun
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (12): : 7658 - 7679
  • [6] Sampled-data output feedback controllers for nonlinear systems with time-varying measurement and control delays
    Battilotti, S.
    IFAC PAPERSONLINE, 2020, 53 (02): : 3614 - 3619
  • [7] Finite-time boundedness of switched systems with time-varying delays via sampled-data control
    Lin, Xiangze
    Zhang, Wanli
    Yang, Zhonglin
    Zou, Yun
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (07) : 2953 - 2976
  • [8] ${{H}}_{∞}$ Control for Stochastic Singular Systems With Time-Varying Delays via Sampled-Data Controller
    Xing, Shuangyun
    Zheng, Weixing
    Deng, Feiqi
    Chang, Chunling
    IEEE TRANSACTIONS ON CYBERNETICS, 2023, 53 (11) : 7048 - 7057
  • [9] Stability of Sampled-data Systems with Uncertain Time-varying Delays and Its Application to Consensus Control of Multi-agent Systems
    Hayashida, Yasutaka
    Hetel, Laurentiu
    Oguchi, Toshiki
    Richard, Jean-Pierre
    IFAC PAPERSONLINE, 2017, 50 (01): : 1257 - 1262
  • [10] Synchronization of Inertial Neural Networks With Time-Varying Delays via Quantized Sampled-Data Control
    Zhong, Xinyu
    Gao, Yanbo
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (11) : 4916 - 4930