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Identification and adaptation with binary-valued observations under non-persistent excitation condition

 期刊论文
AUTOMATICA, 2022, 卷号: 138, 页码: 9
作者:  Zhang, Lantian;  Zhao, Yanlong;  Guo, Lei
收藏  |  浏览/下载：50/0  |  提交时间：2023/02/07
Binary-valued observation  Quasi-Newton algorithm  Identification  Persistent excitation  Martingales  Adaptation  
A unified identification algorithm of FIR systems based on binary observations with time-varying thresholds 期刊论文
AUTOMATICA, 2022, 卷号: 135, 页码: 14
作者:  Wang, Ying;  Zhao, Yanlong;  Zhang, Ji-Feng;  Guo, Jin
收藏  |  浏览/下载：55/0  |  提交时间：2023/02/07
System identification  Binary-valued observations  Stochastic framework  Deterministic framework  
Identification of linear continuous-time systems under irregular and random output sampling 期刊论文
AUTOMATICA, 2015, 卷号: 60, 页码: 100-114
作者:  Mu, Biqiang;  Guo, Jin;  Wang, Le Yi;  Yin, George;  Xu, Lijian;  Zheng, Wei Xing
收藏  |  浏览/下载：102/0  |  提交时间：2018/07/30
Linear continuous-time system  Irregular and random sampling  Identifiability  Iterative algorithm  Recursive algorithm  Strong consistency  Asymptotical normality