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- W2971358013 abstract "Abstract This paper is concerned with nonstationary l 2 − l ∞ filtering for Markov switching repeated scalar nonlinear systems (MSRSNSs) with randomly occurring nonlinearities (RONs), where measurement output is modeled by a mode-dependent random variable that satisfying Bernouli distribution. The new relationship are proposed to depict multiple mutually independent Markov chains between original MMSRSNSs and nonstationary filters. By constructing a proper Lyapnov function, the MSRSNSs is stochastically stable with l 2 − l ∞ performance level is guaranteed. Accordingly, the nonstationary filters are designed, where filters are characterised by a two-layer structure. The paper provides a numerical example verifying the efficacy of established technique." @default.
- W2971358013 created "2019-09-12" @default.
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- W2971358013 date "2020-01-01" @default.
- W2971358013 modified "2023-09-24" @default.
- W2971358013 title "Nonstationary <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML altimg=si4.svg><mml:mrow><mml:msub><mml:mi>l</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo linebreak=goodbreak>−</mml:mo><mml:msub><mml:mi>l</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:mrow></mml:math> filtering for Markov switching repeated scalar nonlinear systems with randomly occurring nonlinearities" @default.
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- W2971358013 doi "https://doi.org/10.1016/j.amc.2019.124714" @default.
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