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• W2754081632 abstract "In this paper, the variance-constrained H ∞ filtering problem is investigated for a class of discrete-time stochastic parameter systems. An event-triggered communication protocol is adopted in order to reduce the communication burden where the measurement information required by the filter is updated only when a certain prescribed event is triggered. The purpose of the addressed filtering problem is to design a recursive filter such that, in the presence of random parameter perturbations and external noise disturbances, both the prespecified H ∞ performance index and the variance constraints on the filtering errors are satisfied over a finite-horizon. Intensive stochastic analysis is carried out and recursive matrix inequality technique is developed to obtain the filter parameters. Such a filter design scheme is based on the solution to a set of forward recursive matrix inequalities and therefore facilitates the on-line implementation. Finally, the usefulness of the developed event-triggered recursive filter design scheme is demonstrated by a numerical simulation example." @default.
• W2754081632 created "2017-09-25" @default.
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• W2754081632 date "2017-07-01" @default.
• W2754081632 modified "2023-09-23" @default.
• W2754081632 title "Variance-constrained H<inf>∞</inf> filtering for stochastic parameter systems under event-triggered protocol" @default.
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• W2754081632 doi "https://doi.org/10.23919/chicc.2017.8028194" @default.
• W2754081632 hasPublicationYear "2017" @default.
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