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Localizability With Range-Difference Measurements: Numerical Computation and Error Bound Analysis 期刊论文
IEEE-ACM TRANSACTIONS ON NETWORKING, 2022, 页码: 14
作者:  Zeng, Guangyang;  Mu, Biqiang;  Wei, Jieqiang;  Wong, Wing Shing;  Wu, Junfeng
收藏  |  浏览/下载：115/0  |  提交时间：2022/06/21
Location awareness  Noise measurement  Error analysis  Pollution measurement  Measurement uncertainty  Coordinate measuring machines  Closed-form solutions  Localization  time difference of arrival (TDOA)  nonconvex optimization  numerical computation  Lagrange multiplier  
Adaptive control with saturation-constrainted observations for drag-free satellites - a set-valued identification approach 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 10, 页码: 12
作者:  Tan, Shuping;  Guo, Jin;  Zhao, Yanlong;  Zhang, Jifeng
收藏  |  浏览/下载：111/0  |  提交时间：2022/04/02
drag-free satellite  saturation constraint  adaptive control  set-valued identification  
Optimization of multi-criteria facility-based systems via vector potential approach 期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2021, 卷号: 358, 期号: 9, 页码: 4972-4993
作者:  Hao, Yaqi;  Cheng, Daizhan
收藏  |  浏览/下载：109/0  |  提交时间：2021/10/26
Optimal rotated block-diagonal preconditioning for discretized optimal control problems constrained with fractional time-dependent diffusive equations 期刊论文
APPLIED NUMERICAL MATHEMATICS, 2021, 卷号: 163, 页码: 126-146
作者:  Bai, Zhong-Zhi;  Lu, Kang-Ya
收藏  |  浏览/下载：149/0  |  提交时间：2021/04/26
Fractional optimal control problem  Numerical discretizations  Block two-by-two linear system  Preconditioning  Spectral bounds  Krylov subspace iteration methods  Convergence property  
Self-Triggered Scheduling for Boolean Control Networks 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 11
作者:  Meng, Min;  Xiao, Gaoxi;  Cheng, Daizhan
收藏  |  浏览/下载：128/0  |  提交时间：2022/04/02
Probabilistic logic  Lyapunov methods  Switches  Stability criteria  Scheduling  Manganese  Genetics  Boolean control networks (BCNs)  Lyapunov function  self-triggered scheduling  semitensor product  
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  
Quantum tomography by regularized linear regressions 期刊论文
AUTOMATICA, 2020, 卷号: 114, 页码: 15
作者:  Mu, Biqiang;  Qi, Hongsheng;  Petersen, Ian R.;  Shi, Guodong
收藏  |  浏览/下载：158/0  |  提交时间：2020/05/24
Quantum state tomography  Linear regression  Regularization  
An intrinsic approach to formation control of regular polyhedra for reduced attitudes 期刊论文
AUTOMATICA, 2020, 卷号: 111, 页码: 8
作者:  Zhang, Silun;  He, Fenghua;  Hong, Yiguang;  Hu, Xiaoming
收藏  |  浏览/下载：143/0  |  提交时间：2020/05/24
Attitude control  Distributed control  Formation control  Nonlinear systems  
Adaptive Exact Penalty Design for Constrained Distributed Optimization 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 卷号: 64, 期号: 11, 页码: 4661-4667
作者:  Zhou, Hongbing;  Zeng, Xianlin;  Hong, Yiguang
收藏  |  浏览/下载：115/0  |  提交时间：2020/05/24
Optimization  Distributed algorithms  Linear programming  Convex functions  Adaptive control  Convergence  Adaptive algorithms  Adaptive algorithm  convex and nondifferentiable function  distributed optimization  exact penalty method  
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：145/0  |  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