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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  
Adaptive control with saturation-constrainted observations for drag-free satellites - a set-valued identification approach 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 10, 页码: 12
作者:  Tan, Shuping;  Guo, Jin;  Zhao, Yanlong;  Zhang, Jifeng
收藏  |  浏览/下载：115/0  |  提交时间：2022/04/02
drag-free satellite  saturation constraint  adaptive control  set-valued identification  
Asymptotically Efficient Recursive Identification of FIR Systems With Binary-Valued Observations 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 2687-2700
作者:  Zhang, Hang;  Wang, Ting;  Zhao, Yanlong
收藏  |  浏览/下载：178/0  |  提交时间：2021/06/01
Finite impulse response filters  Convergence  Approximation algorithms  Adaptive control  Projection algorithms  Estimation  Control systems  Asymptotic efficiency  binary-valued observations  convergence  Cramé  r–  Rao (CR) lower bound  identification  
Asymptotic efficiency and probabilistic error bound for maximum likelihood-based identification of finite impulse response systems with binary-valued observations and unreliable communications 期刊论文
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2020, 页码: 18
作者:  Guo, Jin;  Cheng, Jing;  Xue, Wenchao;  Zhao, Yanlong
收藏  |  浏览/下载：199/0  |  提交时间：2020/10/12
binary-valued observations  FIR systems  packet losses  parameter identification  transmission errors  
Consensus of Multi-Agent Systems Under Binary-Valued Measurements and Recursive Projection Algorithm 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 6, 页码: 2678-2685
作者:  Wang, Ting;  Zhang, Hang;  Zhao, Yanlong
收藏  |  浏览/下载：152/0  |  提交时间：2020/09/23
Convergence  Consensus algorithm  Projection algorithms  Noise measurement  Estimation  Multi-agent systems  Approximation algorithms  Binary-valued communications  convergence  convergence rate  consensus control  estimate  multi-agent systems  recursive projection algorithm  
Parameter estimates of Heston stochastic volatility model with MLE and consistent EKF algorithm 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 卷号: 61, 期号: 4, 页码: 17
作者:  Wang, Ximei;  He, Xingkang;  Bao, Ying;  Zhao, Yanlong
收藏  |  浏览/下载：165/0  |  提交时间：2018/07/30
Heston model  stochastic volatility model  parameter estimation  normal maximum likelihood estimation  pseudo maximum likelihood estimation  consistent extended Kalman filter  
SVSI: Fast and Powerful Set-Valued System Identification Approach to Identifying Rare Variants in Sequencing Studies for Ordered Categorical Traits 期刊论文
ANNALS OF HUMAN GENETICS, 2015, 卷号: 79, 期号: 4, 页码: 294-309
作者:  Bi, Wenjian;  Kang, Guolian;  Zhao, Yanlong;  Cui, Yuehua;  Yan, Song;  Li, Yun;  Cheng, Cheng;  Pounds, Stanley B.;  Borowitz, Michael J.;  Relling, Mary V.;  Yang, Jun J.;  Liu, Zhifa;  Pui, Ching-Hon;  Hunger, Stephen P.;  Hartford, Christine M.;  Leung, Wing;  Zhang, Ji-Feng
收藏  |  浏览/下载：183/0  |  提交时间：2018/07/30
Ordered logistic model  set-valued system identification  multiple thresholds  genetic association study  rare variants  
IDENTIFICATION OF HAMMERSTEIN SYSTEMS WITH QUANTIZED OBSERVATIONS 期刊论文
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2010, 卷号: 48, 期号: 7, 页码: 4352-4376
作者:  Zhao, Yanlong;  Zhang, Ji-Feng;  Wang, Le Yi;  Yin, G. George
收藏  |  浏览/下载：106/0  |  提交时间：2018/07/30
identification  quantized observations  Hammerstein systems  parameter estimation  quantization thresholds  strongly scaled full rank signals  
Identification input design for consistent parameter estimation of linear systems with binary-valued output observations 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 卷号: 53, 期号: 4, 页码: 867-880
作者:  Wang, Le Yi;  Yin, G. George;  Zhao, Yanlong;  Zhang, Ji-Feng
收藏  |  浏览/下载：108/0  |  提交时间：2018/07/30
binary-valued observation  distribution function  identification  input design  parameter estimation  sensor threshold  sufficient excitation