@inproceedings{22cb6e08fcf24311a78d7b44ed82f9dc,
title = "Iterative learning identification with bias compensation for Stochastic linear time-varying systems",
abstract = "A novel iterative learning algorithm is proposed for the identification of linear time-varying (LTV) output-error (OE) systems that perform tasks repetitively over a finite-time interval. Conventional LTV system identification normally relies on recursion algorithms in time domain, which are unable to follow fast changing parameters because of an inevitable estimation lag. To overcome this problem, an extra iteration axis is introduced besides the time axis in the parameter estimation process, and identification algorithm performed in iteration domain is proposed. Firstly, a norm-optimal identification approach is presented to balance the tradeoff between convergence speed and noise robustness. Then a bias compensation algorithm is further proposed to improve the estimation accuracy. Finally, numerical examples are provided to validate the algorithm and confirm its effectiveness. The algorithm is effective to estimate both slow and abrupt parameter changes with high accuracy without estimation lags.",
keywords = "Bias compensation, Linear time-varying systems, Output error systems, System identification",
author = "Fazhi Song and Yang Liu and Zhile Yang and Xiaofeng Yang and Ping He",
note = "Publisher Copyright: {\textcopyright} 2017, Springer Nature Singapore Pte Ltd.; International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017 ; Conference date: 22-09-2017 Through 24-09-2017",
year = "2017",
doi = "10.1007/978-981-10-6373-2\_24",
language = "英语",
isbn = "9789811063725",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "231--239",
editor = "Dong Yue and Tengfei Zhang and Chen Peng and Dajun Du and Min Zheng and Qinglong Han",
booktitle = "Intelligent Computing, Networked Control, and Their Engineering Applications - International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Proceedings",
address = "德国",
}