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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
Authors:  Deng, Wen;  Zeng, Xianlin;  Hong, Yiguang
Favorite  |  View/Download:50/0  |  Submit date: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
Authors:  Xue, Wenchao;  Zhang, Xiaocheng;  Sun, Li;  Fang, Haitao
Favorite  |  View/Download:60/0  |  Submit date: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
Authors:  Huang, Meng;  Xu, Zhiqiang
Favorite  |  View/Download:48/0  |  Submit date: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
Authors:  Wu, Shu-Lin;  Zhou, Tao
Favorite  |  View/Download:52/0  |  Submit date: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
Authors:  Wang, Qianyao;  Liu, Kexin;  Wang, Xiong;  Wu, Lulu;  Lu, Jinhu
Favorite  |  View/Download:61/0  |  Submit date: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
Authors:  Huang, Qiao-Long;  Gao, Xiao-Shan
Favorite  |  View/Download:56/0  |  Submit date: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
Authors:  Zhao, Ting;  Liu, Hongwei;  Liu, Zexian
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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
Authors:  Liu, JiaQi;  Li, XueRong;  Dong, JiChang
Favorite  |  View/Download:55/0  |  Submit date: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
Authors:  Hu, Xingbiao;  Pan, Yan;  Sun, Jianqing;  Wang, Hui;  Zhang, Yingnan
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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
Authors:  Lu, Ruqian;  Hou, Shengluan
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Semi-supervised learning  Semi-supervised multiple representation behavior learning  Semi-supervised grammar learning