Dissipative consensus for two-time-scale semi-Markov jump multi-agent systems against false data injection attacks via a dynamic event-triggered scheme

被引：5
作者：
Zhang, Guanzheng [1 ]
Li, Feng [1 ]
Wang, Jing [1 ]
Shen, Hao [1 ]
机构：
[1] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243002, Peoples R China
来源：
NONLINEAR ANALYSIS-HYBRID SYSTEMS | 2023年 / 50卷
基金：
中国国家自然科学基金;
关键词：
Dissipative consensus; Semi-Markov jump multi-agent systems; Two-time-scale systems; Dynamic event-triggered scheme; False data injection attacks; LEADER-FOLLOWING CONSENSUS; NETWORKS; STABILITY; SUBJECT;
D O I：
10.1016/j.nahs.2023.101382
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 investigates the dynamic event-triggered dissipative consensus for two-time-scale semi-Markov jump multi-agent systems with external disturbances and false data injection attacks. Two-time-scale semi-Markov jump models are established to describe the two-time-scale phenomenon and the abrupt change of system parameters. Moreover, a dynamic event-triggered scheme in which the threshold parameter can be adjusted appropriately with the state fluctuations is adopted to reduce unnecessary data transmission and make more rational use of limited network resources. Some sufficient conditions rely on the Lyapunov analysis method are developed to ensure the (Q, S, R)-dissipative consensus can be achieved. Eventually, a numerical example is presented to corroborate the effectiveness of the obtained theoretical results. (c) 2023 Elsevier Ltd. All rights reserved.
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页数：15
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