Abstract
This paper is concerned with the problem of robust H ∞ filtering for uncertain two-dimensional (2-D) systems with intermittent measurements. The parameter uncertainty is assumed to be of polytopic type, and the measurements transmission is assumed to be imperfect, which is modeled by a stochastic variable satisfying the Bernoulli random binary distribution. Our attention is focused on the design of an H ∞ filter such that the filtering error system is stochastically stable and preserves a guaranteed H ∞ performance. This problem is solved in the parameter-dependent framework, which is much less conservative than the quadratic approach. By introducing some slack matrix variables, the coupling between the positive definite matrices and the system matrices is eliminated, which greatly facilitates the filter design procedure. The corresponding results are established in terms of linear matrix inequalities, which can be easily tested by using standard numerical software. An example is provided to show the effectiveness of the proposed approach.
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This work was partially supported by the National Natural Science Fundation of China under Grant 60504008 and 60825303, by the Research Fund for the Doctoral Program of Higher Education of China under Grant 20070213084, and by the Fok Ying Tung Education Foundation (111064).
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Liu, X., Gao, H. & Shi, P. Robust H ∞ Filtering for 2-D Systems with Intermittent Measurements. Circuits Syst Signal Process 28, 283–303 (2009). https://doi.org/10.1007/s00034-008-9081-4
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DOI: https://doi.org/10.1007/s00034-008-9081-4