Quantized Input and Output-Based Identification of FIR Systems With Event-Triggered Communication and Data Packet Drop

This article studies the problem of finite impulse response (FIR) system identification with binary sensor and the either-or communication, together with the packet drop for quantized inputs. We propose online identification algorithms for two cases of known and unknown probability of packet drop, and prove strong convergence and asymptotic normality of the algorithms. Additionally, we introduce metrics to describe the speed of the algorithm's convergence when the probability of packet drop is unknown. Finally, the effectiveness of the theoretical results is verified by experiment.