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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：53/0  |  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：57/0  |  提交时间：2023/02/07
System identification  Binary-valued observations  Stochastic framework  Deterministic framework  
Closed-loop identification for a class of nonlinearly parameterized discrete-time systems 期刊论文
AUTOMATICA, 2021, 卷号: 131, 页码: 11
作者:  Li, Chanying
收藏  |  浏览/下载：137/0  |  提交时间：2021/10/26
Closed-loop identification  Strong consistency  Nonlinear estimator  Parametric systems  Random noises  
Sparse system identification for stochastic systems with general observation sequences 期刊论文
AUTOMATICA, 2020, 卷号: 121, 页码: 13
作者:  Zhao, Wenxiao;  Yin, George;  Bai, Er-Wei
收藏  |  浏览/下载：169/0  |  提交时间：2021/01/14
Stochastic system  Sparse identification  Feedback control  Strong consistency  
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：104/0  |  提交时间：2018/07/30
Linear continuous-time system  Irregular and random sampling  Identifiability  Iterative algorithm  Recursive algorithm  Strong consistency  Asymptotical normality  
Identification of Wiener systems with binary-valued. output observations 期刊论文
AUTOMATICA, 2007, 卷号: 43, 期号: 10, 页码: 1752-1765
作者:  Zhao, Yanlong;  Wang, Le Yi;  Yin, G. George;  Zhang, Ji-Feng
收藏  |  浏览/下载：121/0  |  提交时间：2018/07/30
identification  binary-valued observations  Wiener systems  parameter estimation  sensor thresholds  periodic inputs  joint identifiability  
Joint identification of plant rational models and noise distribution functions using binary-valued observations 期刊论文
AUTOMATICA, 2006, 卷号: 42, 期号: 4, 页码: 535-547
作者:  Wang, LY;  Yin, GG;  Zhang, JF
收藏  |  浏览/下载：116/0  |  提交时间：2018/07/30
system identification  estimation  binary-valued observations  identifiability  parameter convergence  recursive algorithms