Delay-dependent – filter design for stochastic time-delay systems

2007 ◽  
Vol 56 (9-10) ◽  
pp. 579-587 ◽  
Author(s):  
Jianwei Xia ◽  
Shengyuan Xu ◽  
Bo Song
Keyword(s):  
Time Delay ◽  
Filter Design ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Delay Dependent ◽  
Stochastic Time

New delay-dependent filter design for stochastic time-delay systems

2009 ◽  
Vol 89 (6) ◽  
pp. 974-980 ◽  
Author(s):  
Yun Chen ◽  
Anke Xue ◽  
Shaosheng Zhou
Keyword(s):  
Time Delay ◽  
Filter Design ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Delay Dependent ◽  
Stochastic Time

scholarly journals New delay-dependent observer-based control for uncertain stochastic time-delay systems

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Xiu-feng Miao ◽  
Long-suo Li
Keyword(s):  
Time Delay ◽  
The State ◽  
Delay Systems ◽  
Linear Matrix ◽  
Time Delay Systems ◽  
Parameter Uncertainties ◽  
Noise Disturbances ◽  
System States ◽  
Delay Dependent ◽  
Stochastic Time

AbstractThis paper considers the problem of estimating the state vector of uncertain stochastic time-delay systems, while the system states are unmeasured. The system under study involves parameter uncertainties, noise disturbances and time delay, and they are dependent on the state. Based on the Lyapunov–Krasovskii functional approach, we present a delay-dependent condition for the existence of a state observer in terms of a linear matrix inequality. A numerical example is exploited to show the validity of the results obtained.

Robust energy-to-peak filter design for stochastic time-delay systems

2006 ◽  
Vol 55 (2) ◽  
pp. 101-111 ◽  
Author(s):  
Huijun Gao ◽  
James Lam ◽  
Changhong Wang
Keyword(s):  
Time Delay ◽  
Filter Design ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Stochastic Time

Delay-dependent L 2 – L ∞ filtering for fuzzy neutral stochastic time-delay systems

2017 ◽  
Vol 137 ◽  
pp. 98-108 ◽  
Author(s):  
Mingang Hua ◽  
Fengqi Yao ◽  
Pei Cheng ◽  
Juntao Fei ◽  
Jianjun Ni
Keyword(s):  
Time Delay ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Delay Dependent ◽  
Stochastic Time
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