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Relaxed Stability Criteria for Time-Delay Systems: A Novel Quadratic Function Convex Approximation Approach
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 996-1006
作者:
Shenquan Wang
;
Wenchengyu Ji
;
Yulian Jiang
;
Yanzheng Zhu
;
Jian Sun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/03/18
Equivalent reciprocal combination technique
quadratic function convex approximation approach
stability
timevarying delay
An Efficient Online Trajectory Generation Method Based on Kinodynamic Path Search and Trajectory Optimization for Human-Robot Interaction Safety
期刊论文
Entropy, 2022, 卷号: 24, 期号: 5, 页码: 1-29
作者:
Liu HY(刘鸿雁)
;
Qu DK(曲道奎)
;
Xu F(徐方)
;
Du ZJ(杜振军)
;
Jia K(贾凯)
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  |  
浏览/下载:15/0
  |  
提交时间:2022/06/07
B-spline
human-robot interaction
kinodynamic path search
real-time collision avoidance
replanning
trajectory optimization
An Extended Convex Combination Approach for Quadratic ${{\bm{{\cal{{{L}}}}}}}_{{\bm{2}}}$ Performance Analysis of Switched Uncertain Linear Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1706-1709
作者:
Yufang Chang
;
Guisheng Zhai
;
Lianglin Xiong
;
Bo Fu
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  |  
浏览/下载:8/0
  |  
提交时间:2022/08/19
A proximal DC approach for quadratic assignment problem
期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2021, 页码: 27
作者:
Jiang, Zhuoxuan
;
Zhao, Xinyuan
;
Ding, Chao
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  |  
浏览/下载:14/0
  |  
提交时间:2021/04/26
Quadratic assignment problem
Doubly nonnegative programming
Augmented Lagrangian method
Rank constraint
Maximum Margin Multi-Dimensional Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021
作者:
Jia, Bin-Bin
;
Zhang, Min-Ling
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  |  
浏览/下载:19/0
  |  
提交时间:2022/03/01
Covariance matrices
Training
Predictive models
Optimization
Task analysis
Semantics
Matrix decomposition
Class dependencies
machine learning
maximum margin
multi-dimensional classification (MDC)
A class of smooth exact penalty function methods for optimization problems with orthogonality constraints
期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2020, 页码: 37
作者:
Xiao, Nachuan
;
Liu, Xin
;
Yuan, Ya-xiang
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  |  
浏览/下载:17/0
  |  
提交时间:2021/01/14
Orthogonality constraint
Stiefel manifold
augmented Lagrangian method
Supervised Dimensionality Reduction Methods via Recursive Regression
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279
作者:
Liu, Yun
;
Zhang, Rui
;
Nie, Feiping
;
Li, Xuelong
;
Ding, Chris
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  |  
浏览/下载:25/0
  |  
提交时间:2020/10/23
Dimensionality reduction
Linear discriminant analysis
Eigenvalues and eigenfunctions
Learning systems
Computer science
Optical imaging
Optics
Optimal scaling (OS)
orthogonal least squares regression (OLSR)
orthogonal linear discriminant analysis (OLDA)
recursive regression
supervised dimensionality reduction
Optimized Preference-Aware Multi-Path Video Streaming with Scalable Video Coding
期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2020, 卷号: 19, 期号: 1, 页码: 159-172
作者:
Elgabli, Anis
;
Liu, Ke
;
Aggarwal, Vaneet
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  |  
浏览/下载:13/0
  |  
提交时间:2020/12/10
Static VAr compensators
Streaming media
Prediction algorithms
Bandwidth
Video coding
Quality of experience
Optimization
Video streaming
multi-path
scalable video coding
video quality
stall duration
multi-path TCP
non convex optimization
ADMM-based Distributed Algorithm for Economic Dispatch in Power Systems With Both Packet Drops and Communication Delays
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 842-852
作者:
Qing Yang
;
Gang Chen
;
Ting Wang
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  |  
浏览/下载:12/0
  |  
提交时间:2021/03/11
Alternating direction method of multipliers (ADMM)
average consensus
directed graph (digraph)
distributed algorithm
economic dispatch
packet drops
time delays
Incremental Updating Multirobot Formation Using Nonlinear Model Predictive Control Method With General Projection Neural Network
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 6, 页码: 4502-4512
作者:
Xiao, Hanzhen
;
Chen, C. L. Philip
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  |  
浏览/下载:56/0
  |  
提交时间:2019/07/12
General projection neural network (GPNN)
incremental updating method
multirobot formation control
nonlinear model predictive control (NMPC)
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