Delay-Dependent Stability of Complex Dynamical Networks with Mode-Dependent Parameters and Time Delays

被引:0
|
作者
Guo Li-Lin [1 ]
Zhao Nian-Yuan [2 ]
Huang Yue-Hua [1 ]
Xiao Jiang-Wen [1 ]
Wang Yan-Wu [1 ]
机构
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China
[2] Oxygen Co Wuhan Iron & Steel Gr Corp, Wuhan 430083, Peoples R China
基金
中国国家自然科学基金;
关键词
Stochastic Stability; Complex Dynamical Networks; Markov Jumping; Uncertain Parameters; Time-Delay; GLOBAL SYNCHRONIZATION; ROBUST STABILITY; NEURAL-NETWORKS; DISTURBANCES; SYSTEMS;
D O I
暂无
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 definition of the stochastic stability is proposed for a continuous-time complex dynamical network (CDN), and the stochastic stability of the CDN with uncertain parameters and time delay is investigated. Based on the descriptor model transformation, some delay-dependent sufficient conditions are obtained in terms of linear matrix inequalities (LMIs). An important feature of the results is that both the uncertain parameters and the time delay are subjected to the same continuous-time homogeneous Markov jump process which has discrete and finite state space. Another feature of the results is that the second stability condition is dependent on the difference between upper and lower bound of the delay. A numerical example is presented to show the effectiveness of the theoretical result.
引用
收藏
页码:4671 / 4676
页数:6
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