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• W2892893908 abstract "This paper investigates the identification of FIR (finite impulse response) systems whose output observations are subject to both the binary-valued quantization and the event-triggered scheme. Based on the a priori information of the unknown parameters and the statistical property of the system noise, a recursive stochastic-approximation-type identification algorithm is proposed. Under a class of persistently exciting inputs, the algorithm is proved to be strongly convergent and the convergence rate of the estimation error is also established, where the corresponding event-triggering conditions are provided. Moreover, the communication rate is discussed. A numerical example is included to verify the effectiveness of the results obtained." @default.
• W2892893908 created "2018-10-05" @default.
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• W2892893908 date "2018-12-01" @default.
• W2892893908 modified "2023-10-16" @default.
• W2892893908 title "Event-triggered identification of FIR systems with binary-valued output observations" @default.
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• W2892893908 doi "https://doi.org/10.1016/j.automatica.2018.09.024" @default.
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