Stabilization of complex networks under asynchronously intermittent event-triggered control
被引:17
|
作者:
Wu, Yongbao
论文数: 0引用数: 0
h-index: 0
机构:
Southeast Univ, Sch Automat, Nanjing 210096, Peoples R ChinaSoutheast Univ, Sch Automat, Nanjing 210096, Peoples R China
Wu, Yongbao
[1
]
Guo, Zhengrui
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Univ Sci & Technol, Dept Comp Sci & Engn, Kowloon, Clear Water Bay, Hong Kong, Peoples R ChinaSoutheast Univ, Sch Automat, Nanjing 210096, Peoples R China
Guo, Zhengrui
[2
]
Xue, Lei
论文数: 0引用数: 0
h-index: 0
机构:
Southeast Univ, Sch Automat, Nanjing 210096, Peoples R ChinaSoutheast Univ, Sch Automat, Nanjing 210096, Peoples R China
Xue, Lei
[1
]
Ahn, Choon Ki
论文数: 0引用数: 0
h-index: 0
机构:
Korea Univ, Sch Elect Engn, Seoul 136701, South KoreaSoutheast Univ, Sch Automat, Nanjing 210096, Peoples R China
Ahn, Choon Ki
[3
]
Liu, Jian
论文数: 0引用数: 0
h-index: 0
机构:
Southeast Univ, Sch Automat, Nanjing 210096, Peoples R ChinaSoutheast Univ, Sch Automat, Nanjing 210096, Peoples R China
Liu, Jian
[1
]
机构:
[1] Southeast Univ, Sch Automat, Nanjing 210096, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Comp Sci & Engn, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
[3] Korea Univ, Sch Elect Engn, Seoul 136701, South Korea
In this paper, we explore the input-to-state practically exponential stability of complex networks by designing asynchronous aperiodical intermittent dynamic event-triggered control (AAIDE-TC). Diverging from the existing literature, the form of intermittent control considered in this paper is asynchronous; that is, the intermittent control activation time of each node is different. Moreover, the average control rate for intermittent control is adopted, which is less conservative. More importantly, a Lyapunov function is constructed with the aid of an auxiliary function to overcome the difficulty of dealing with asynchronous aperiodical intermittent control. A dynamic variable and exponential function are then introduced into the AAIDE-TC strategy, playing an essential role in reducing eventtriggered frequency and enhancing resource utilization efficiency. Furthermore, the event-triggered frequency for each node is designed to be asynchronous. By resorting to the Lyapunov method and graph theory, this paper derives a criterion for the input-to-state practically exponential stability of complex networks. Finally, the above results are applied to oscillator systems, and numerical simulations are presented to demonstrate the feasibility of the obtained results. (c) 2023 Elsevier Ltd. All rights reserved.
机构:
Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China
Li, Yalu
Li, Haitao
论文数: 0引用数: 0
h-index: 0
机构:
Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China
Shandong Normal Univ, Inst Data Sci & Technol, Jinan 250014, Shandong, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China
Li, Haitao
Sun, Weiwei
论文数: 0引用数: 0
h-index: 0
机构:
Qufu Normal Univ, Inst Automat, Qufu 273165, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China
机构:
Research Center for Complex Networks & Swarm Intelligence, School of Computer Science & Technology, Jiangsu Normal University, XuzhouResearch Center for Complex Networks & Swarm Intelligence, School of Computer Science & Technology, Jiangsu Normal University, Xuzhou
Dong, Ziyu
Hu, Yuanfa
论文数: 0引用数: 0
h-index: 0
机构:
Research Center for Complex Networks & Swarm Intelligence, School of Computer Science & Technology, Jiangsu Normal University, XuzhouResearch Center for Complex Networks & Swarm Intelligence, School of Computer Science & Technology, Jiangsu Normal University, Xuzhou
Hu, Yuanfa
Liu, Xiaoyang
论文数: 0引用数: 0
h-index: 0
机构:
Research Center for Complex Networks & Swarm Intelligence, School of Computer Science & Technology, Jiangsu Normal University, XuzhouResearch Center for Complex Networks & Swarm Intelligence, School of Computer Science & Technology, Jiangsu Normal University, Xuzhou
Liu, Xiaoyang
Cao, Jinde
论文数: 0引用数: 0
h-index: 0
机构:
School of Mathematics, Southeast University, NanjingResearch Center for Complex Networks & Swarm Intelligence, School of Computer Science & Technology, Jiangsu Normal University, Xuzhou