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A New Integral Inequality Approach for Extended Dissipative Filters Design of Singular Markovian Jump Systems with Discrete and Distributed Delays

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Abstract

This paper studies the problem of reduced-order extended dissipative filters design for continuous-time singular Markovian jump systems with discrete and distributed delays. By proposing a new integral inequality, a sufficient condition based on linear matrix inequalities (LMIs) is presented to ensure the existence of the extended dissipative filters. Compared with the previous ones, the proposed method can sufficiently exploit the information on discrete and distributed delays. A set of slack matrices instead of fixed ones are introduced in the LMIs to find all solutions of the reduced-order filters, which can enhance the flexibility of the obtained result. Two numerical examples are provided to illustrate the effectiveness and advantages of the proposed filters design condition.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grants 61973070, 61433004, and 61627809, the Liaoning Revitalization Talents Program under Grant XLYC1802010, and in part by SAPI Fundamental Research Funds under Grant 2018ZCX22.

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Correspondence to Zhanshan Wang.

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Tian, Y., Wang, Z. A New Integral Inequality Approach for Extended Dissipative Filters Design of Singular Markovian Jump Systems with Discrete and Distributed Delays. Circuits Syst Signal Process 39, 2900–2921 (2020). https://doi.org/10.1007/s00034-019-01305-9

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