This paper investigates the event-triggered impulsive control problem for a class of large-scale nonlinear systems in lower-triangular form. Based on gain scaling tech-nique and impulsive control theory, a novel decentralized event-triggered impulsive control strategy is first put forward by introducing a static scaling gain, where no control input exists between two consecutive triggering points. Moreover, when the large uncertainties exist in system nonlinearities, we further develop a new control strategy by introducing a time-varying scaling gain. It is proved that the proposed closed-loop control strategies exclude the Zeno behavior without sacrificing the global convergence of system states. Compared with the existing results, it is the first time to apply impulsive control to lower-triangular large-scale nonlinear systems, and the advantages of event-triggered impulsive control and gain scaling technique are subtly combined in the proposed control strategies. Finally, two simulation examples are used to demonstrate the effectiveness of the proposed schemes. (c) 2023 Elsevier Ltd. All rights reserved.
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Shandong Univ, Sch Control Sci & Engn, Jinan, Peoples R ChinaShandong Univ, Sch Control Sci & Engn, Jinan, Peoples R China
Feng, Minghui
Zhang, Xianfu
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Shandong Univ, Sch Control Sci & Engn, Jinan, Peoples R China
Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R ChinaShandong Univ, Sch Control Sci & Engn, Jinan, Peoples R China
Zhang, Xianfu
Duan, Zhiyu
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Shandong Univ, Sch Control Sci & Engn, Jinan, Peoples R ChinaShandong Univ, Sch Control Sci & Engn, Jinan, Peoples R China
Duan, Zhiyu
Qi, Yanan
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Shandong Univ, Sch Control Sci & Engn, Jinan, Peoples R ChinaShandong Univ, Sch Control Sci & Engn, Jinan, Peoples R China
机构:
Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China
Inst Luneng Intelligence Technol, Jinan 250014, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China
Li, Xiaodi
Yang, Xueyan
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Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China
Yang, Xueyan
Cao, Jinde
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Southeast Univ, Jiangsu Prov Key Lab Networked Collect Intelligen, Nanjing 210096, Peoples R China
Southeast Univ, Sch Math, Nanjing 210096, Peoples R ChinaShandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China