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Distributed system identification for linear stochastic systems with binary sensors 期刊论文
AUTOMATICA, 2022, 卷号: 141, 页码: 13
作者:  Fu, Kewei;  Chen, Han-Fu;  Zhao, Wenxiao
收藏  |  浏览/下载：70/0  |  提交时间：2023/02/07
Distributed system identification  Binary-valued sensor  Stochastic approximation  Consensus  Convergence  Strong consistency  
Optimal and two-step adaptive quantum detector tomograph 期刊论文
AUTOMATICA, 2022, 卷号: 141, 页码: 16
作者:  Xiao, Shuixin;  Wang, Yuanlong;  Dong, Daoyi;  Zhang, Jun
收藏  |  浏览/下载：56/0  |  提交时间：2023/02/07
Quantum detector tomography  Quantum system identification  Adaptive estimation  Quantum systems  
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：56/0  |  提交时间：2023/02/07
System identification  Binary-valued observations  Stochastic framework  Deterministic framework  
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：167/0  |  提交时间：2021/01/14
Stochastic system  Sparse identification  Feedback control  Strong consistency  
Variable selection of high-dimensional non-parametric nonlinear systems by derivative averaging to avoid the curse of dimensionality 期刊论文
AUTOMATICA, 2019, 卷号: 101, 页码: 138-149
作者:  Bai, Er-Wei;  Cheng, Changming;  Zhao, Wen-Xiao
收藏  |  浏览/下载：163/0  |  提交时间：2019/04/02
Variable selection  Nonlinear identification  Kernel  Non-parametric systems  
Quantum gate identification: Error analysis, numerical results and optical experiment 期刊论文
AUTOMATICA, 2019, 卷号: 101, 页码: 269-279
作者:  Wang, Yuanlong;  Yin, Qi;  Dong, Daoyi;  Qi, Bo;  Petersen, Ian R.;  Hou, Zhibo;  Yonezawa, Hidehiro;  Xiang, Guo-Yong
收藏  |  浏览/下载：137/0  |  提交时间：2019/04/02
Quantum system  Quantum tomography  Quantum gate identification  Computational complexity  
On input design for regularized LTI system identification: Power-constrained input 期刊论文
AUTOMATICA, 2018, 卷号: 97, 页码: 327-338
作者:  Mu, Biqiang;  Chen, Tianshi
收藏  |  浏览/下载：280/0  |  提交时间：2018/11/16
Input design  Bayesian mean square error  Kernel-based regularization  LTI system identification  Convex optimization  
Identification of Wiener systems with quantized inputs and binary-valued output observations 期刊论文
AUTOMATICA, 2017, 卷号: 78, 页码: 280-286
作者:  Guo, Jin;  Wang, Le Yi;  Yin, George;  Zhao, Yanlong;  Zhang, Ji-Feng
收藏  |  浏览/下载：111/0  |  提交时间：2018/07/30
Identification  Wiener system  Quantized input  Binary-valued observation  Asymptotic efficiency  
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  
Recursive identification of FIR systems with binary-valued outputs and communication channels 期刊论文
AUTOMATICA, 2015, 卷号: 60, 页码: 165-172
作者:  Guo, Jin;  Zhao, Yanlong;  Sun, Chang-Yin;  Yu, Yao
收藏  |  浏览/下载：115/0  |  提交时间：2018/07/30
System identification  Binary-valued output  Communication channel  Convergence  Convergence rate