Further analysis of stabilization of neutral type singular systems with mixed time-varying delays and multiple random states

被引：0
|
作者：
Yi, Shuai [1 ]
Lu, Hongqian [1 ]
Wang, Renren [1 ]
机构：
[1] Qilu Univ Technol, Shandong Acad Sci, Sch Informat & Automat, Jinan, Peoples R China
来源：
ASIAN JOURNAL OF CONTROL | 2024年 / 26卷 / 04期
关键词：
MTVDs; multiple random states; neutral systems; singular systems; MARKOVIAN JUMP SYSTEMS; STABILITY ANALYSIS; ROBUST STABILITY; NEURAL-NETWORKS;
D O I：
10.1002/asjc.3305
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 paper, the stabilization problem of neutral type singular systems (NTSSs) with mixed time-varying delays and multiple random states is further analyzed. Lyapunov Krasovskill functional (LKF) and generalized Ito formula, together with linear matrix inequality (LMI), are used to represent a new stability criterion for NTSSs with mixed time-varying delays (MTVDs) in multiple random states. First, the regularity, impulse free, and stochastic stability of the system are satisfied by designing a state feedback controller (SFC). Second, on the basis of Leibniz Newton formula, the stability criterion is also feasible by integrating zero value equation technology, and then combined with singular decomposition, the gain of SFC is obtained. Finally, our paper is a further analysis of the latest literature, so two numerical examples are used to verify the feasibility and effectiveness of this method.
引用
收藏
页码：1892 / 1905
页数：14
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