Abstract
This paper deals with the problem of decentralized \(\mathcal{L}_{2}\)–\(\mathcal{L}_{\infty}\) filtering for a class of interconnected (or large-scale) Markovian jump systems with constant time delays. The purpose is to present delay-dependent conditions for the existence of mode-dependent decentralized filters, which guarantees that the filtering error system is stochastically stable with a prescribed \(\mathcal{L}_{2}\)–\(\mathcal{L}_{\infty}\) disturbance attenuation level. Such a purpose is achieved by using a mode-dependent centralized Lyapunov functional together with the so-called Jensen’s inequality. The obtained synthesis conditions are expressed in terms of linear matrix inequalities (LMIs), which leads to a convex design method for the concerned filters. An example including numerical and simulation results is provided finally to illustrate the effectiveness of the proposed design method.
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Li, Y., Fei, S., Zhang, B. et al. Decentralized \(\mathcal{L}_{2}\)–\(\mathcal{L}_{\infty}\) Filtering for Interconnected Markovian Jump Systems with Delays. Circuits Syst Signal Process 31, 889–909 (2012). https://doi.org/10.1007/s00034-011-9350-5
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DOI: https://doi.org/10.1007/s00034-011-9350-5