Abstract
This paper considers \(H_{\infty }\) filtering of discrete-time uncertain switched nonlinear systems with time-varying delay via Takagi–Sugeno fuzzy model which is used to approximate each nonlinear subsystem. Fuzzy piecewise Lyapunov–Krasovskii functionals and average dwell time approaches are utilized for the exponential stability analysis and \(H_{\infty }\) filter design. A new sufficient condition is obtained to guarantee the exponential stability with a prescribed \(H_{\infty }\) performance index for the filtering error system. Filter parameter matrices can be obtained by solving sets of linear matrix inequalities. An example of an uncertain single-link robot arm is given to demonstrate the effectiveness of the proposed method.
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Acknowledgments
The work was supported in part by the National Natural Science Foundation of China (Grant Nos. 61374117, 61004048, 61174137 and 61104064), the General Research Fund: CityU 101113 of RGC of Hong Kong SAR Government, the National Science Foundation of Jiang Su Province (Grant No. BK2010493), the 973 Project (Grant No. 2011CB707000), the grant from the Science and Technology Department of Sichuan Province (Grant No. 2014GZ0156) and the grant from the China Postdoctoral Science Foundation funded Project 2012M510135.
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Wang, G., Xie, R., Zhang, H. et al. Robust Exponential \(H_{\infty }\) Filtering for Discrete-Time Switched Fuzzy Systems with Time-Varying Delay. Circuits Syst Signal Process 35, 117–138 (2016). https://doi.org/10.1007/s00034-015-0062-0
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DOI: https://doi.org/10.1007/s00034-015-0062-0