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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：60/0  |  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：65/0  |  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：126/0  |  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：191/0  |  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：209/0  |  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：170/0  |  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