Event-triggered identification of FIR systems with binary-valued output observations

• Autores: Jing-Dong Diao, Jin Guo, Chang-Yin Sun
• Localización: Automatica: A journal of IFAC the International Federation of Automatic Control, ISSN 0005-1098, Nº. 98, 2018, págs. 95-102
• Idioma: inglés
• DOI: 10.1016/j.automatica.2018.09.024
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• Resumen

  • 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.