Enhanced H Filtering for Continuous-time State-delayed Systems

Ying Zhang Ai-Guo Wu Guang-Ren Duan

Ying Zhang, Ai-Guo Wu, Guang-Ren Duan. Enhanced H∞ Filtering for Continuous-time State-delayed Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2009, 6(2): 159-163. doi: 10.1007/s11633-009-0159-7
引用本文: Ying Zhang, Ai-Guo Wu, Guang-Ren Duan. Enhanced H Filtering for Continuous-time State-delayed Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2009, 6(2): 159-163. doi: 10.1007/s11633-009-0159-7
Ying Zhang, Ai-Guo Wu and Guang-Ren Duan. Enhanced H∞ Filtering for Continuous-time State-delayed Systems. International Journal of Automation and Computing, vol. 6, no. 2, pp. 159-163, 2009 doi:  10.1007/s11633-009-0159-7
Citation: Ying Zhang, Ai-Guo Wu and Guang-Ren Duan. Enhanced H∞ Filtering for Continuous-time State-delayed Systems. International Journal of Automation and Computing, vol. 6, no. 2, pp. 159-163, 2009 doi:  10.1007/s11633-009-0159-7

Enhanced H Filtering for Continuous-time State-delayed Systems

doi: 10.1007/s11633-009-0159-7
基金项目: 

supported by National Natural Science Foundation ofChina (No.60772046);Program for Changjiang Scholars and Inno-vative Research Team in University;Natural Science Foundationof Heilongjiang Province (No.F2007-13)

Enhanced H Filtering for Continuous-time State-delayed Systems

Funds: 

supported by National Natural Science Foundation ofChina (No.60772046);Program for Changjiang Scholars and Inno-vative Research Team in University;Natural Science Foundationof Heilongjiang Province (No.F2007-13)

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出版历程
  • 收稿日期:  2008-09-19
  • 修回日期:  2008-11-14
  • 刊出日期:  2009-04-15

Enhanced H Filtering for Continuous-time State-delayed Systems

doi: 10.1007/s11633-009-0159-7
    基金项目:

    supported by National Natural Science Foundation ofChina (No.60772046);Program for Changjiang Scholars and Inno-vative Research Team in University;Natural Science Foundationof Heilongjiang Province (No.F2007-13)

摘要: The H filtering problem for continuous-time polytopic uncertain time-delay systems is investigated. Attention is focused on the design of full-order filters guaranteeing a prescribed H attenuation level for the filtering error system. First, a simple alternative proof is given for an improved linear matrix inequality (LMI) representation of H performance. Then, based on the performance criterion which keeps Lyapunov matrices out of the product of system dynamic matrices, a suficient condition for the existence of robust estimators is formulated in terms of LMIs, and the corresponding filter design is cast into a convex optimization problem which can be effciently handled by using standard numerical algorithms. It is shown that the proposed design strategy allows the use of parameter-dependent Lyapunov functions and hence it is less conservative than some earlier results. A numerical example is employed to demonstrate the feasibility and advantage of the proposed design.

English Abstract

Ying Zhang, Ai-Guo Wu, Guang-Ren Duan. Enhanced H∞ Filtering for Continuous-time State-delayed Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2009, 6(2): 159-163. doi: 10.1007/s11633-009-0159-7
引用本文: Ying Zhang, Ai-Guo Wu, Guang-Ren Duan. Enhanced H Filtering for Continuous-time State-delayed Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2009, 6(2): 159-163. doi: 10.1007/s11633-009-0159-7
Ying Zhang, Ai-Guo Wu and Guang-Ren Duan. Enhanced H∞ Filtering for Continuous-time State-delayed Systems. International Journal of Automation and Computing, vol. 6, no. 2, pp. 159-163, 2009 doi:  10.1007/s11633-009-0159-7
Citation: Ying Zhang, Ai-Guo Wu and Guang-Ren Duan. Enhanced H∞ Filtering for Continuous-time State-delayed Systems. International Journal of Automation and Computing, vol. 6, no. 2, pp. 159-163, 2009 doi:  10.1007/s11633-009-0159-7
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