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Chinese Academy of Sciences Institutional Repositories Grid
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自动化研究所 [2]
长春光学精密机械与物... [1]
数学与系统科学研究院 [1]
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OAI收割 [4]
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期刊论文 [3]
会议论文 [1]
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2023 [1]
2022 [1]
2011 [1]
2007 [1]
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Multistep Look-Ahead Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems With Isoperimetric Constraints
期刊论文
OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:
Li, Tao
;
Wei, Qinglai
;
Wang, Fei-Yue
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/02/22
Performance analysis
Optimal control
Dynamic programming
Iterative algorithms
Upper bound
Measurement
Convergence
Adaptive dynamic programming (ADP)
isoperimetric constraints
nonlinear systems
optimal control
policy iteration
Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System
期刊论文
OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 6, 页码: 3926-3935
作者:
Wei, Qinglai
;
Lu, Jingwei
;
Zhou, Tianmin
;
Cheng, Xiang
;
Wang, Fei-Yue
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2022/06/06
Optimal control
Nonlinear systems
Informatics
Control systems
Performance analysis
Mathematical models
Upper bound
Adaptive dynamic programming (ADP)
boiler-turbine system (BTS)
control constraints
event-triggered
nonlinear optimal control
parallel control
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
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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.
Some inverse min-max network problems under weighted l(1) and l(infinity) norms with bound constraints on changes
期刊论文
OAI收割
JOURNAL OF COMBINATORIAL OPTIMIZATION, 2007, 卷号: 13, 期号: 2, 页码: 123-135
作者:
Yang, Xiaoguang
;
Zhang, Jianzhong
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2018/07/30
inverse min-max network problem
weighted l(1) norm
weighted l(infinity) norm
bound constraints
polynomial time algorithms