Input-to-state stability for impulsive switched nonlinear systems with unstable subsystems

被引:7
作者
Zhang, Meng [1 ]
Gao, Lijun [1 ]
机构
[1] Qufu Normal Univ, Dept Automat, Rizhao 276826, Shandong, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Impulsive switched system; input-to-state stability; Lyapunov function; unstable subsystems; SAMPLED-DATA SYSTEMS; EXPONENTIAL STABILITY; TIME-DELAY; TRACKING CONTROL; NEURAL-NETWORKS;
D O I
10.1177/0142331217699057
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, the input-to-state stability is investigated for impulsive switched systems. By means of the Lyapunov function and the average impulsive switched interval approach, the input-to-state stability properties are derived under the condition that all subsystems are stable, all subsystems are unstable and some subsystems are unstable. It is shown that if the continuous subsystems all have input-to-state stability and though the impulsive effects are destabilizing, the system has input-to-state stability with respect to a lower bound of the average impulsive switched interval. Moreover, if all the subsystems do not have input-to-state stability, the impulsive effects can still successfully stabilize the system but for an upper bound of the average impulsive switched interval. However, it is unveiled that if some continuous subsystems are not input-to-state stability, the impulsive effects can successfully stabilize the system for a lower bound of the average impulsive switched interval under specific conditions. It is worth noting that we introduce multiple jumps in this paper. Finally, three examples are illustrated with their simulations to manifest the validity of the main results.
引用
收藏
页码:2167 / 2177
页数:11
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