CSpace

浏览/检索结果: 共53条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
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:141/0  |  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  
Extended State Filter Based Disturbance and Uncertainty Mitigation for Nonlinear Uncertain Systems With Application to Fuel Cell Temperature Control 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 12, 页码: 10682-10692
作者:  Xue, Wenchao;  Zhang, Xiaocheng;  Sun, Li;  Fang, Haitao
收藏  |  浏览/下载:176/0  |  提交时间:2020/11/18
Estimation  Stochastic processes  Uncertainty  Heuristic algorithms  Temperature control  Nonlinear systems  Stability analysis  Disturbance and uncertainty mitigation  nonlinear uncertain systems  extended state observer (ESO)  Kalman-Bucy filter (KBF)  proton exchange membrane fuel cell (PEMFC)  temperature control  
The Estimation Performance of Nonlinear Least Squares for Phase Retrieval 期刊论文
IEEE TRANSACTIONS ON INFORMATION THEORY, 2020, 卷号: 66, 期号: 12, 页码: 7967-7977
作者:  Huang, Meng;  Xu, Zhiqiang
收藏  |  浏览/下载:132/0  |  提交时间:2021/04/26
Phase retrieval  estimation performance  nonlinear least squares  nonlinear Lasso  
Diagonalization-based parallel-in-time algorithms for parabolic PDE-constrained optimization problems 期刊论文
ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS, 2020, 卷号: 26, 页码: 26
作者:  Wu, Shu-Lin;  Zhou, Tao
收藏  |  浏览/下载:145/0  |  提交时间:2021/04/26
Parabolic PDE-constrained optimization  PinT algorithm  diagonalization technique  preconditioner  GMRES  BiCGStab  
Leader-following consensus of multi-agent systems under antagonistic networks 期刊论文
NEUROCOMPUTING, 2020, 卷号: 413, 页码: 339-347
作者:  Wang, Qianyao;  Liu, Kexin;  Wang, Xiong;  Wu, Lulu;  Lu, Jinhu
收藏  |  浏览/下载:143/0  |  提交时间:2021/01/14
Multi-agent systems  Signed graph  Bipartite consensus  Adaptive regulation  
Faster interpolation algorithms for sparse multivariate polynomials given by straight-line programs 期刊论文
JOURNAL OF SYMBOLIC COMPUTATION, 2020, 卷号: 101, 页码: 367-386
作者:  Huang, Qiao-Long;  Gao, Xiao-Shan
收藏  |  浏览/下载:120/0  |  提交时间:2020/09/23
Black box  Interpolation  Kronecker substitution  
New subspace minimization conjugate gradient methods based on regularization model for unconstrained optimization 期刊论文
NUMERICAL ALGORITHMS, 2020, 页码: 34
作者:  Zhao, Ting;  Liu, Hongwei;  Liu, Zexian
收藏  |  浏览/下载:135/0  |  提交时间:2021/01/14
Conjugate gradient method  p-regularization model  Subspace technique  Nonmonotone line search  Unconstrained optimization  
A survey on network node ranking algorithms: Representative methods, extensions, and applications 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2020, 页码: 11
作者:  Liu, JiaQi;  Li, XueRong;  Dong, JiChang
收藏  |  浏览/下载:129/0  |  提交时间:2021/01/14
complex networks  node ranking methods  PageRank  HITS  algorithms  
Numerical evaluations of periodic wave solutions, integrable time discretization and their applications to the mKdV-sine-Gordon equation 期刊论文
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2020, 卷号: 53, 期号: 39, 页码: 23
作者:  Hu, Xingbiao;  Pan, Yan;  Sun, Jianqing;  Wang, Hui;  Zhang, Yingnan
收藏  |  浏览/下载:133/0  |  提交时间:2021/01/14
mKdV-sine-Gordon equation  3-periodic wave solution  integrable discre-tization  
On semi-supervised multiple representation behavior learning 期刊论文
JOURNAL OF COMPUTATIONAL SCIENCE, 2020, 卷号: 46, 页码: 17
作者:  Lu, Ruqian;  Hou, Shengluan
收藏  |  浏览/下载:141/0  |  提交时间:2021/04/26
Semi-supervised learning  Semi-supervised multiple representation behavior learning  Semi-supervised grammar learning