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
2009 ◽  
Vol 89 (6) ◽  
pp. 974-980 ◽  
Author(s):  
Yun Chen ◽  
Anke Xue ◽  
Shaosheng Zhou

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Yanhui Li ◽  
Xiujie Zhou

This paper investigates the Hankel norm filter design problem for stochastic time-delay systems, which are represented by Takagi-Sugeno (T-S) fuzzy model. Motivated by the parallel distributed compensation (PDC) technique, a novel filtering error system is established. The objective is to design a suitable filter that guarantees the corresponding filtering error system to be mean-square asymptotically stable and to have a specified Hankel norm performance levelγ. Based on the Lyapunov stability theory and the Itô differential rule, the Hankel norm criterion is first established by adopting the integral inequality method, which can make some useful efforts in reducing conservativeness. The Hankel norm filtering problem is casted into a convex optimization problem with a convex linearization approach, which expresses all the conditions for the existence of admissible Hankel norm filter as standard linear matrix inequalities (LMIs). The effectiveness of the proposed method is demonstrated via a numerical example.


2014 ◽  
Vol 351 (12) ◽  
pp. 5340-5357 ◽  
Author(s):  
Pablo Rodríguez-Ramírez ◽  
Jesús Rodríguez-González

2007 ◽  
Vol 56 (9-10) ◽  
pp. 579-587 ◽  
Author(s):  
Jianwei Xia ◽  
Shengyuan Xu ◽  
Bo Song

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