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A Note on the Convergence of Distributed RLS 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 卷号: 67, 期号: 12, 页码: 6762-6769
作者:  Liu, Zhaobo;  Li, Chanying
收藏  |  浏览/下载:83/0  |  提交时间:2023/02/07
Distributed estimation  mean square convergence  noises  recursive least squares  strong consistency  
Performance analysis of the compressed distributed least squares algorithm 期刊论文
SYSTEMS & CONTROL LETTERS, 2022, 卷号: 164, 页码: 9
作者:  Gan, Die;  Liu, Zhixin
收藏  |  浏览/下载:127/0  |  提交时间:2023/02/07
Sparse signal  Compressive sensing  Distributed least squares  Performance analysis  
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:211/0  |  提交时间:2023/02/07
distributed order estimation  cooperative excitation condition  distributed least squares  convergence  
Convergence of a Distributed Least Squares 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 卷号: 66, 期号: 10, 页码: 4952-4959
作者:  Xie, Siyu;  Zhang, Yaqi;  Guo, Lei
收藏  |  浏览/下载:133/0  |  提交时间:2022/04/02
Convergence  Estimation  Symmetric matrices  Stochastic processes  Task analysis  Complexity theory  Adaptive control  Convergence  cooperative excitation  diffusion strategies  distributed estimation  least squares (LS)  martingale theory  regret  
Distributed optimisation approach to least-squares solution of Sylvester equations 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 18, 页码: 2968-2976
作者:  Deng, Wen;  Zeng, Xianlin;  Hong, Yiguang
收藏  |  浏览/下载:166/0  |  提交时间:2021/01/14
least squares approximations  distributed control  stability  distributed algorithms  continuous time systems  matrix algebra  convex programming  multi-robot systems  convex optimisation  distributed optimisation approach  least-squares solution  Sylvester equations  distributed algorithms  multiagent network  problem setup  interconnected system  local information  data matrices  neighbour agents  continuous-time algorithms  optimisation problem  
Network flows that solve least squares for linear equations 期刊论文
AUTOMATICA, 2020, 卷号: 120, 页码: 12
作者:  Liu, Yang;  Lou, Youcheng;  Anderson, Brian D. O.;  Shi, Guodong
收藏  |  浏览/下载:229/0  |  提交时间:2020/11/18
Distributed algorithms  Linear equation  Least-squares solutions  
Distributed optimisation design for solving the Stein equation with constraints 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 15, 页码: 2492-2499
作者:  Chen, Guanpu;  Zeng, Xianlin;  Hong, Yiguang
收藏  |  浏览/下载:166/0  |  提交时间:2020/05/24
least squares approximations  gradient methods  convergence  matrix algebra  concave programming  multi-agent systems  distributed optimisation design  Stein equations  set constraints  rows  columns  coefficient matrices  equivalent distributed optimisation problem  projection-based algorithm  least-squares solution  constrained Stein equation  multiagent system network  simplified distributed algorithm  
Distributed Computation of Linear Matrix Equations: An Optimization Perspective 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 卷号: 64, 期号: 5, 页码: 1858-1873
作者:  Zeng, Xianlin;  Liang, Shu;  Hong, Yiguang;  Chen, Jie
收藏  |  浏览/下载:179/0  |  提交时间:2020/01/10
Constrained convex optimization  distributed computation  least squares solution  linear matrix equation  substitutional decomposition  
Analysis of Distributed Adaptive Filters Based on Diffusion Strategies Over Sensor Networks 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018, 卷号: 63, 期号: 11, 页码: 3643-3658
作者:  Xie, Siyu;  Guo, Lei
收藏  |  浏览/下载:169/0  |  提交时间:2019/01/11
Diffusion strategies  distributed adaptive filters  least mean squares  stochastic stability  tracking performance  
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:213/0  |  提交时间:2019/01/11
distributed adaptive filter  consensus algorithm  least mean squares  information condition  stochastic stability  tracking performance