中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
地理科学与资源研究所 [3]
长春光学精密机械与物... [1]
数学与系统科学研究院 [1]
自动化研究所 [1]
采集方式
OAI收割 [6]
内容类型
期刊论文 [5]
会议论文 [1]
发表日期
2022 [1]
2018 [3]
2017 [1]
2006 [1]
学科主题
筛选
浏览/检索结果:
共6条,第1-6条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
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
A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables
期刊论文
OAI收割
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2022, 卷号: 168, 页码: 14
作者:
Su, Miaomiao
;
Wang, Qihua
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/04/02
High dimensions
Missing at random
Marginal response quantile
Optimal weights
Selection probability function
Integrated watershed management through multi-level and stepwise optimization for allocation of total load of water pollutants at large scales
期刊论文
OAI收割
ENVIRONMENTAL EARTH SCIENCES, 2018, 卷号: 77, 期号: 10, 页码: 13
作者:
Yu, Sen
;
Lu, Hongwei
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2019/05/23
Watershed management
Total water pollution control
Optimal distribution
Comprehensive weights
Largescale basin
Songhua River basin (SRB)
Integrated watershed management through multi-level and stepwise optimization for allocation of total load of water pollutants at large scales
期刊论文
OAI收割
ENVIRONMENTAL EARTH SCIENCES, 2018, 卷号: 77, 期号: 10, 页码: 13
作者:
Yu, Sen
;
Lu, Hongwei
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/05/23
Watershed management
Total water pollution control
Optimal distribution
Comprehensive weights
Largescale basin
Songhua River basin (SRB)
Integrated watershed management through multi-level and stepwise optimization for allocation of total load of water pollutants at large scales
期刊论文
OAI收割
ENVIRONMENTAL EARTH SCIENCES, 2018, 卷号: 77, 期号: 10, 页码: 13
作者:
Yu, Sen
;
Lu, Hongwei
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/05/23
Watershed management
Total water pollution control
Optimal distribution
Comprehensive weights
Largescale basin
Songhua River basin (SRB)
Adaptive dynamic programming for robust neural control of unknown continuous-time non-linear systems
期刊论文
OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 14, 页码: 2307-2316
作者:
Yang, Xiong
;
He, Haibo
;
Liu, Derong
;
Zhu, Yuanheng
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2017/09/13
Dynamic Programming
Robust Control
Neurocontrollers
Continuous Time Systems
Control System Synthesis
Nonlinear Control Systems
Optimal Control
Function Approximation
Monte Carlo Methods
Closed Loop Systems
Asymptotic Stability
Adaptive Dynamic Programming
Robust Neural Control Design
Unknown Continuous-time Nonlinear Systems
Ct Nonlinear Systems
Adp-based Robust Neural Control Scheme
Robust Nonlinear Control Problem
Nonlinear Optimal Control Problem
Nominal System
Adp Algorithm
Actor-critic Dual Networks
Control Policy Approximation
Value Function Approximation
Actor Neural Network Weights
Critic Nn Weights
Monte Carlo Integration Method
Closed-loop System
Asymptotically Stability
An improved adaptive neural network method for control system (EI CONFERENCE)
会议论文
OAI收割
2006 International Conference on Machine Learning and Cybernetics, August 13, 2006 - August 16, 2006, Dalian, China
Wang L.-M.
;
Xie M.-J.
;
Wu D.-Y.
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2013/03/25
Classical methods for designing a controller depend on the accuracy of system model. However
plant's models and other parts in a physical system can not accurately represent all possible dynamics. Thus the controller designed is usually not the optimal one. In this article
a new
simple adaptive control method
which combines the classical frequency domain method with the neural network theory
is proposed. Firstly
we can obtain a controller using classical method. Secondly we use the coefficients in digitized controller equation as the initial values of an Adaline network. Finally
LMS learning rules is used to adjust the weights adaptively. Experimental results show that this method is very effective in improving the performance of conventional controller. 2006 IEEE.