| Delay-dependent robust H-infinity filtering for uncertain linear systems with time-varying interval delay |
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| 作者姓名： | Chen PENG Lingxi PEI Jiquan YANG |
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| 作者单位： | School of Electrical and Automation Engineering, Nanjing Normal University,School of Electrical and Automation Engineering, Nanjing Normal University,School of Electrical and Automation Engineering, Nanjing Normal University |
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| 基金项目： | This work was supported by the National Natural Science Foundation of China (No.61074024) and the Natural Science Foundation of Jiangsu Province of China (No. BK2010543). |
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| 摘 要： | This paper proposed a design method for delay-dependent robust H-infinity filter of linear systems with uncertainty and time-varying interval delay.The proposed method was shown to be much simpler than existing ones while giving significant improvement to the existing results.The key step in the method was to construct a special type of Lyapunov functional for the filter design problem.Unlike the existing techniques,the proposed method employed neither free weighting matrices nor any model transformation,le...
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| 收稿时间： | 2008/12/12 0:00:00 |
| 修稿时间： | 2009/4/26 0:00:00 |
Delay-dependent robust H-infinity filtering for uncertain linear systems with time-varying interval delay |
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| Chen PENG,Lingxi PEI,Jiquan YANG.Delay-dependent robust H-infinity filtering for uncertain linear systems with time-varying interval delay[J].Journal of Control Theory and Applications,2011,9(2):177-182. |
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| Authors: | Chen PENG Lingxi PEI and Jiquan YANG |
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| Affiliation: | School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing Jiangsu 210042, China |
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| Abstract: | This paper proposed a design method for delay-dependent robust H-infinity filter of linear systems with uncertainty and time-varying interval delay. The proposed method was shown to be much simpler than existing ones while giving significant improvement to the existing results. The key step in the method was to construct a special type of Lyapunov functional for the filter design problem. Unlike the existing techniques, the proposed method employed neither free weighting matrices nor any model transformation, leading to reduced computational demand as well as improved performance. Numerical examples were given to demonstrate the effectiveness of the proposed method. |
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| Keywords: | Robust stability H-infinity filter design Uncertainties Linear matrix inequalities Interval delay |
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