Stability of Time-Varying Hybrid Stochastic Delayed Systems With Application to Aperiodically Intermittent Stabilization

被引:48
作者
Wang, Pengfei [1 ]
Wang, Ruifang [1 ]
Su, Huan [1 ]
机构
[1] Harbin Inst Technol Weihai, Dept Math, Weihai 264209, Peoples R China
关键词
Time-varying systems; Stability criteria; Numerical stability; Power system stability; Lyapunov methods; Wind power generation; Stochastic systems; Aperiodically intermittent control (AIC); hybrid stochastic delayed systems (HSDSs); indefinite derivative; TO-STATE STABILITY; DIFFERENTIAL EQUATIONS; NETWORKS; SYNCHRONIZATION; RAZUMIKHIN; CRITERIA;
D O I
10.1109/TCYB.2021.3052042
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 article is concerned with the stability analysis of time-varying hybrid stochastic delayed systems (HSDSs), also known as stochastic delayed systems with Markovian switching. Several easy-to-check and less conservative Lyapunov-based sufficient criteria are derived for ensuring the stability of studied systems, where the upper bound estimation for the diffusion operator of the Lyapunov function is time-varying, piecewise continuous, and indefinite. It should be stressed that our results can be directly used to analyze the stabilization of HSDSs via aperiodically intermittent control (AIC). Compared with the existing results about AIC, the restrictions on the bound of each control/rest width and the maximum proportion of rest width in each control period are removed. Thus, the conservativeness is reduced. Finally, two examples, together with their numerical simulations, are provided to demonstrate the theoretical results.
引用
收藏
页码:9026 / 9035
页数:10
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