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Fault Tolerant Synchronization for a General Complex DynamicalNetwork with Random Delay 被引量:1
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作者 Chao Wang chunxia fan Lunsai Gong 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2017年第1期51-56,共6页
A fault tolerant synchronization strategy is proposed to synchronize a complex network with random time delays and sensor faults. Random time delays over the network transmission are described by using Markov chains. ... A fault tolerant synchronization strategy is proposed to synchronize a complex network with random time delays and sensor faults. Random time delays over the network transmission are described by using Markov chains. Based on the Lyapunov stability theory and stochastic analysis, several passive fault tolerant synchronization criteria are derived,which can be described in the form of linear matrix inequalities. Finally,a numerical simulation example is carried out and the results show the validity of the proposed fault tolerant synchronization controller. 展开更多
关键词 complex dynamical network fault tolerant control SYNCHRONIZATION random delay sensor faults
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State Reconstruction for Complex Dynamical Networks with Noises 被引量:2
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作者 chunxia fan Guoping Jiang 《International Journal of Modern Nonlinear Theory and Application》 2012年第1期1-5,共5页
The state reconstruction problem is addressed for complex dynamical networks coupled with states and outputs respectively, in a noisy transmission channel. By using Lyapunov stability theory and H∞ performance, two s... The state reconstruction problem is addressed for complex dynamical networks coupled with states and outputs respectively, in a noisy transmission channel. By using Lyapunov stability theory and H∞ performance, two schemes of state reconstruction are proposed for the complex dynamical networks with the nodes coupled by states and outputs respectively, and the estimation errors are convergent to zeros with H∞ performance index. A numerical simulation demonstrates the effectiveness of the proposed observers. 展开更多
关键词 STATE RECONSTRUCTION COMPLEX DYNAMICAL Networks NOISY Circumstance H∞ Performance
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