Asymptotic efficiency and probabilistic error bound for maximum likelihood‐based identification of finite impulse response systems with binary‐valued observations and unreliable communications-Reference-Cited by-同舟云学术

Asymptotic efficiency and probabilistic error bound for maximum likelihood‐based identification of finite impulse response systems with binary‐valued observations and unreliable communications

Published:2020-09-02 Issue:10 Volume:34 Page:1483-1500
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Int J Adapt Control Signal Process

Author:

Guo Jin¹²^ORCID,Cheng Jing¹²,Xue Wenchao³^ORCID,Zhao Yanlong³^ORCID

Affiliation:

1. School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing P.R. China

2. Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education Beijing P.R. China

3. Key Laboratory of Systems and Control Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences Beijing P.R. China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3164

Reference36 articles.

1. Networked Control Systems' Fundamentals

2. A Survey of Recent Results in Networked Control Systems

3. Prediction-based event-triggered identification of quantized input FIR systems with quantized output observations

4. Challenging research for networked control systems: A survey

5. Integral Input-to-State Stability of Networked Control Systems

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