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Closed-loop identification for a class of nonlinearly parameterized discrete-time systems 期刊论文
AUTOMATICA, 2021, 卷号: 131, 页码: 11
Authors:  Li, Chanying
Favorite  |  View/Download:20/0  |  Submit date: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
Authors:  Zhao, Wenxiao;  Yin, George;  Bai, Er-Wei
Favorite  |  View/Download:46/0  |  Submit date:2021/01/14
Stochastic system  Sparse identification  Feedback control  Strong consistency  
Encryption algorithm based on Hadoop and non-degenerate high-dimensional discrete hyperchaotic system 期刊论文
ACTA PHYSICA SINICA, 2017, 卷号: 66, 期号: 23, 页码: 14
Authors:  Wen He-Ping;  Yu Si-Min;  Lu Jin-Hu
Favorite  |  View/Download:35/0  |  Submit date:2018/07/30
chaotic system  chaotic cipher  Hadoop  
Adaptive tracking of a class of first-order systems with binary-valued observations and fixed thresholds 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2012, 卷号: 25, 期号: 6, 页码: 1041-1051
Authors:  Guo Jin;  Zhang JiFeng;  Zhao Yanlong
Favorite  |  View/Download:12/0  |  Submit date:2021/01/14
IDENTIFICATION  Adaptive control  binary-valued observation  optimal tracking  parameter estimation  stochastic system  
Adaptive Tracking Control of A Class of First-Order Systems With Binary-Valued Observations and Time-Varying Thresholds 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2011, 卷号: 56, 期号: 12, 页码: 2991-2996
Authors:  Guo, Jin;  Zhang, Ji-Feng;  Zhao, Yanlong
Favorite  |  View/Download:11/0  |  Submit date:2018/07/30
Adaptive control  binary-valued observation  optimal tracking  parameter identification  stochastic system  
An asymptotically optimal nonparametric adaptive controller 期刊论文
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2000, 卷号: 43, 期号: 6, 页码: 561-568
Authors:  Guo, L;  Xie, LL
Favorite  |  View/Download:17/0  |  Submit date:2018/07/30
adaptive control  nonparametric identification  stochastic systems  discrete-time  optimality