Input-to-State Stability of Nonlinear Impulsive Systems with Hybrid Impulses

被引:0
作者
Kumar, Rakesh [1 ]
Feketa, Petro [2 ]
Meurer, Thomas [1 ]
机构
[1] Karlsruhe Inst Technol KIT, Digital Proc Engn Grp MVM, Hertzstr 16, D-76187 Karlsruhe, Baden Wurttembe, Germany
[2] Victoria Univ Wellington, Sch Math & Stat, POB 600, Wellington 6140, New Zealand
关键词
Impulsive system; input-to-state stability; Lyapunov function; dwell-time condition; hybrid impulses; NEURAL-NETWORKS; SYNCHRONIZATION;
D O I
10.1016/j.ifacol.2024.10.153
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 note investigates input-to-state stability (ISS) of nonlinear impulsive systems with hybrid impulses. Such systems contain a time-dependent jump map that can generate both stabilizing and destabilizing impulsive jumps. To cope with the two-fold effect of impulses within a single impulse time sequence, we use the concept of average impulsive gain. We provide novel sufficient conditions for ISS in terms of exponential ISS-Lyapunov function equipped with average impulsive gain and appropriate dwell-time condition. Contrary to the existing results we do not impose severe restrictions on impulsive gains, like periodicity or a finite number of different gains. Finally, we demonstrate effectiveness of our results by concluding ISS for a system whose ISS property cannot be verified by any other result available in the literature. Copyright (c) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页码:184 / 189
页数:6
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