机构

• 数学与系统科学研究院 [7]
• 自动化研究所 [3]
• 理论物理研究所 [2]
• 长春光学精密机械与物... [1]
• 沈阳自动化研究所 [1]
• 软件研究所 [1]
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采集方式

• OAI收割 [15]

内容类型

• 期刊论文 [12]
• 会议论文 [2]
• 学位论文 [1]

发表日期

• 2024 [1]
• 2021 [1]
• 2019 [1]
• 2017 [1]
• 2015 [1]
• 2013 [1]
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学科主题

• Physics [2]

筛选

浏览/检索结果: 共15条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Accelerated Primal-Dual Projection Neurodynamic Approach with time Scaling for Linear and set Constrained Convex Optimization Problems 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1485-1498 作者:  You Zhao;  Xing He;  Mingliang Zhou;  Tingwen Huang   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/05/22 Accelerated projection neurodynamic approach  linear and set constraints  projection operators  smooth and nonsmooth convex optimization  time scaling   Distributed Design for Nuclear Norm Minimization of Linear Matrix Equations With Constraints 期刊论文  OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 卷号: 66, 期号: 2, 页码: 745-752 作者:  Li, Weijian;  Zeng, Xianlin;  Hong, Yiguang;  Ji, Haibo   |  收藏  |  浏览/下载：56/0  |  提交时间：2021/04/26 Distributed matrix computation  distributed optimization  linear equality constraints  nuclear norm minimization   A Partial First-Order Affine-Scaling Method 期刊论文  OAI收割 ACTA MATHEMATICA SINICA-ENGLISH SERIES, 2019, 卷号: 35, 期号: 1, 页码: 1-16 作者:  Gu, Ran;  Yuan, Ya Xiang   |  收藏  |  浏览/下载：47/0  |  提交时间：2019/12/13 Linear inequality constraints  affine scaling  interior point   AN ACTIVE FAULT-TOLERANT CONTROL FRAMEWORK AGAINST ACTUATOR STUCK FAILURES UNDER INPUT SATURATIONS 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, 2017, 卷号: 27, 期号: 4, 页码: 749-761 作者:  He YQ(何玉庆);  Qi X(齐欣);  Theilliol, Didier;  Han JD(韩建达)   |  收藏  |  浏览/下载：40/0  |  提交时间：2018/01/25 fault-tolerant control (FTC)  actuator stuck failure  actuator constraints  reference redesign  linear matrix inequality (LMI)   Time optimal feedrate generation with confined tracking error based on linear programming 期刊论文  OAI收割 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2015, 卷号: 28, 期号: 1, 页码: 80-95 作者:  Guo Jianxin   |  收藏  |  浏览/下载：36/0  |  提交时间：2021/01/14 CNC MACHINES  NURBS INTERPOLATOR  CHORD ERROR  ALGORITHM  PATHS  JERK  ACCELERATION  OPTIMIZATION  CONSTRAINTS  TOOLS  CNC machining  dynamics  linear programming  optimal control  time optimal feedrate planning  tracking error   Growth index after the Planck results 期刊论文  OAI收割 PHYSICAL REVIEW D, 2013, 卷号: 88, 期号: 8, 页码: 84032 Xu, LX 收藏  |  浏览/下载：25/0  |  提交时间：2014/04/25 DARK ENERGY  COSMOLOGICAL CONSTANT  LINEAR PERTURBATIONS  MODIFIED GRAVITY  DGP MODEL  LAMBDA  CONSTRAINTS  SUPERNOVAE  DENSITY  OMEGA   基于线性先验的径向基函数神经网络的研究 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2012 作者:  瞿亚军 收藏  |  浏览/下载：63/0  |  提交时间：2015/09/02 透明度  径向基函数神经网络  先验信息  线性先验  线性约束  消元法  Transparency  RBF Networks  Prior Information  Linear Priors  Linear Constraints  Elimination Method   Generalized Constraint Neural Network Regression Model Subject to Linear Priors 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS, 2011, 卷号: 22, 期号: 12, 页码: 2447-2459 作者:  Qu, Ya-Jun 收藏  |  浏览/下载：36/0  |  提交时间：2015/08/12 Linear constraints  linear priors  nonlinear regression  radial basis function networks  transparency   A TRUST-REGION FILTER-SQP METHOD FOR MATHEMATICAL PROGRAMS WITH LINEAR COMPLEMENTARITY CONSTRAINTS 期刊论文  OAI收割 JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2011, 卷号: 7, 期号: 4, 页码: 1041-1055 作者:  Hao, Chunlin;  Liu, Xinwei   |  收藏  |  浏览/下载：23/0  |  提交时间：2018/07/30 Mathematical program with linear complementarity constraints  filter-SQP  trust-region method   Reentry guidance based on feedback linearization (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Electronics, Communications and Control, ICECC 2011, September 9, 2011 - September 11, 2011, Ningbo, China Li D.-W. 收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25 This paper presents a new reentry guidance algorithm for RLV (Reusable Launching Vehicle). The algorithm consists of two integrated components: trajectory planning algorithm and tracking algorithm. The most striking feature of algorithm here lies in that both planning and tracking are executed directly in height-velocity space  which is different from the methodology of configuration of drag in traditional shuttle guidance. In the session of trajectory planning  all trajectory constraints can be expressed with upper bound and lower bound in height-velocity space  then a linear interpolation is carried to search the nominal trajectory satisfying the requirement of downrange and target constraints. Then the tracking algorithm uses feedback linearization method to track this nominal profile and meet all constraints. Another typical feature of this algorithm is the strategy of downrange extension using FPA (flight path angle) controller to fulfill the requirement of large downrange. Proper combination of planning-tracking algorithm and FPA controller can bring great flexibility and adaptability to reentry guidance. The algorithm is proved to be robust enough to accommodate the model error and noises in the dynamics. 2011 IEEE.