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Variable selection of high-dimensional non-parametric nonlinear systems by derivative averaging to avoid the curse of dimensionality 期刊论文
AUTOMATICA, 2019, 卷号: 101, 页码: 138-149
作者:  Bai, Er-Wei;  Cheng, Changming;  Zhao, Wen-Xiao
收藏  |  浏览/下载:162/0  |  提交时间:2019/04/02
Variable selection  Nonlinear identification  Kernel  Non-parametric systems  
Consensus conditions of continuous-time multi-agent systems with time-delays and measurement noises 期刊论文
AUTOMATICA, 2019, 卷号: 99, 页码: 412-419
作者:  Zong, Xiaofeng;  Li, Tao;  Zhang, Ji-Feng
收藏  |  浏览/下载:169/0  |  提交时间:2019/03/05
Multi-agent system  Time-delay  Measurement noise  Mean square consensus  Almost sure consensus  
On input design for regularized LTI system identification: Power-constrained input 期刊论文
AUTOMATICA, 2018, 卷号: 97, 页码: 327-338
作者:  Mu, Biqiang;  Chen, Tianshi
收藏  |  浏览/下载:280/0  |  提交时间:2018/11/16
Input design  Bayesian mean square error  Kernel-based regularization  LTI system identification  Convex optimization  
Stability of stochastic functional differential systems using degenerate it Lyapunov functionals and applications 期刊论文
AUTOMATICA, 2018, 卷号: 91, 页码: 197-207
作者:  Zong, Xiaofeng;  Yin, George;  Wang, Le Yi;  Li, Tao;  Zhang, Ji-Feng
收藏  |  浏览/下载:201/0  |  提交时间:2018/07/30
Degenerate Lyapunov functional  Stochastic functional differential equation  Asymptotic behavior  Stabilization  Consentability  
Identification of Wiener systems with quantized inputs and binary-valued output observations 期刊论文
AUTOMATICA, 2017, 卷号: 78, 页码: 280-286
作者:  Guo, Jin;  Wang, Le Yi;  Yin, George;  Zhao, Yanlong;  Zhang, Ji-Feng
收藏  |  浏览/下载:111/0  |  提交时间:2018/07/30
Identification  Wiener system  Quantized input  Binary-valued observation  Asymptotic efficiency  
Identification of linear continuous-time systems under irregular and random output sampling 期刊论文
AUTOMATICA, 2015, 卷号: 60, 页码: 100-114
作者:  Mu, Biqiang;  Guo, Jin;  Wang, Le Yi;  Yin, George;  Xu, Lijian;  Zheng, Wei Xing
收藏  |  浏览/下载:102/0  |  提交时间:2018/07/30
Linear continuous-time system  Irregular and random sampling  Identifiability  Iterative algorithm  Recursive algorithm  Strong consistency  Asymptotical normality