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DISTRIBUTED ORDER ESTIMATION OF ARX MODEL UNDER 期刊论文
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2022, 卷号: 60, 期号: 3, 页码: 1519-1545
作者:  Gan, D. I. E.;  Liu, Zhixin
收藏  |  浏览/下载：195/0  |  提交时间：2023/02/07
distributed order estimation  cooperative excitation condition  distributed least squares  convergence  
Convergence of Self-Tuning Regulators under Conditional Heteroscedastic Noises with Unknown High-Frequency Gain 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2020, 页码: 15
作者:  Zhang, Yaqi;  Guo, Lei
收藏  |  浏览/下载：152/0  |  提交时间：2021/01/14
ARCH model  conditional heteroscedasticity  convergence  self-tuning regulator  weighted least-squares algorithm  
Feedback and uncertainty: Some basic problems and results 期刊论文
ANNUAL REVIEWS IN CONTROL, 2020, 卷号: 49, 页码: 27-36
作者:  Guo, Lei
收藏  |  浏览/下载：142/0  |  提交时间：2021/01/14
Feedback  Uncertainty  Nonlinear systems  Adaptive control  Least-squares  PID control  Stability  
Linear Stochastic Approximation Algorithms and Group Consensus Over Random Signed Networks 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 卷号: 64, 期号: 5, 页码: 1874-1889
作者:  Chen, Ge;  Duan, Xiaoming;  Mei, Wenjun;  Bullo, Francesco
收藏  |  浏览/下载：182/0  |  提交时间：2020/01/10
Terms-Consensus  linear systems  multiagent systems  signed network  stochastic approximation (SA)  
CONTROLLABILITY OF STOCHASTIC GAME-BASED CONTROL SYSTEMS 期刊论文
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2019, 卷号: 57, 期号: 6, 页码: 3799-3826
作者:  Zhang, Renren;  Guo, Lei
收藏  |  浏览/下载：159/0  |  提交时间：2020/09/23
noncooperative stochastic differential games  hierarchical structure  game-based control systems  Nash equilibrium  controllability  forward-backward stochastic differential equations  
ANALYSIS OF NORMALIZED LEAST MEAN SQUARES-BASED CONSENSUS ADAPTIVE FILTERS UNDER A GENERAL INFORMATION CONDITION 期刊论文
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2018, 卷号: 56, 期号: 5, 页码: 3404-3431
作者:  Xie, Siyu;  Guo, Lei
收藏  |  浏览/下载：205/0  |  提交时间：2019/01/11
distributed adaptive filter  consensus algorithm  least mean squares  information condition  stochastic stability  tracking performance