Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11027883 | Automatica | 2018 | 8 Pages |
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.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Jing-Dong Diao, Jin Guo, Chang-Yin Sun,