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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
Authors:  Guo, Jin;  Cheng, Jing;  Xue, Wenchao;  Zhao, Yanlong
Favorite  |  View/Download:4/0  |  Submit date:2020/10/12
binary-valued observations  FIR systems  packet losses  parameter identification  transmission errors  
Average Consensus for Multi-Agent System with Measurement Noise and Binary-Valued Communication 期刊论文
ASIAN JOURNAL OF CONTROL, 2019, 卷号: 21, 期号: 3, 页码: 1043-1056
Authors:  Wang, Ximei;  Wang, Ting;  Xu, Changbao;  Zhao, Yanlong
Favorite  |  View/Download:17/0  |  Submit date:2020/01/10
Multi-agent systems  average consensus  binary-valued communication  state estimation  convergence  convergence rate  
Consensus Protocol for Multiagent Systems With Undirected Topologies and Binary-Valued Communications 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 卷号: 64, 期号: 1, 页码: 206-221
Authors:  Zhao, Yanlong;  Wang, Ting;  Bi, Wenjian
Favorite  |  View/Download:16/0  |  Submit date:2019/03/05
Binary-valued communication  consensus  convergence  convergence rate  identification method without truncation  multiagent system  two-time-scale protocol  
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
Authors:  Guo, Jin;  Zhao, Yanlong;  Sun, Chang-Yin;  Yu, Yao
Favorite  |  View/Download:5/0  |  Submit date:2018/07/30
System identification  Binary-valued output  Communication channel  Convergence  Convergence rate  
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
Authors:  Wang, Le Yi;  Yin, G. George;  Zhao, Yanlong;  Zhang, Ji-Feng
Favorite  |  View/Download:12/0  |  Submit date:2018/07/30
binary-valued observation  distribution function  identification  input design  parameter estimation  sensor threshold  sufficient excitation  
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
Authors:  Wang, LY;  Yin, GG;  Zhang, JF
Favorite  |  View/Download:7/0  |  Submit date:2018/07/30
system identification  estimation  binary-valued observations  identifiability  parameter convergence  recursive algorithms