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CAS IR Grid
机构
地理科学与资源研究所 [1]
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]
软件研究所 [1]
采集方式
OAI收割 [5]
内容类型
会议论文 [2]
期刊论文 [2]
SCI/SSCI论文 [1]
发表日期
2019 [1]
2015 [1]
2010 [1]
2007 [1]
2004 [1]
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Adaptive output-feedback finite-time stabilisation of stochastic non-linear systems with application to a two-stage chemical reactor
期刊论文
OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 4, 页码: 534-542
作者:
Sui, Shuai
;
Chen, C. L. Philip
  |  
收藏
  |  
浏览/下载:95/0
  |  
提交时间:2019/07/12
chemical reactors
stochastic systems
control system synthesis
feedback
differential equations
adaptive control
uncertain systems
observers
stochastic processes
nonlinear control systems
stability
fuzzy control
control nonlinearities
probability
adaptive output-feedback finite-time stabilisation
two-stage chemical reactor
uncertain stochastic nonlinear system
unmeasured system variables
fuzzy logic systems
fuzzy state observer
stochastic differential equation
adaptive backstepping intelligent control
two-stage continuous stirred tank reactor process
controller design
single-input single-output system
SISO
probability
Rainfall-runoff modeling, parameter estimation and sensitivity analysis in a semiarid catchment
SCI/SSCI论文
OAI收割
2015
作者:
Jiang Y.
;
Liu, C. M.
;
Li, X. Y.
;
Liu, L. F.
;
Wang, H. R.
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2015/12/09
HIMS rainfall-runoff model
Parameter estimation
Particle swarm
optimization
Master-slave swarms shuffling evolution
Semiarid
catchment
Sensitivity analysis
particle swarm optimization
global sensitivity
hydrologic model
arid
catchment
multiobjective optimization
genetic algorithm
input
variables
northern china
water-quality
river-basin
An information theoretic approach to model reduction based on frequency-domain Cross-Gramian information (EI CONFERENCE)
会议论文
OAI收割
2010 8th World Congress on Intelligent Control and Automation, WCICA 2010, July 7, 2010 - July 9, 2010, Jinan, China
作者:
Zhou J.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2013/03/25
We focused our attention on model reduction for linear time invariant (LTI) continuous time systems with single input and single output (SISO). We analyzed the strongpoint and shortcoming of an information theoretic approach called minimum information loss method for model reduction. We explained relationships between the steady-state information entropy and controllability information for the Gaussian systems. The controllability
observability and Cross-Gramian information were analyzed in the time-domain. The frequency-domain Cross-Gramian information (FCGI) was defined based on Cross-Gramian matrix containing information associated with both controllability and observability. Furthermore
a valuable application of the frequency-domain Cross-Gramian information to model reduction (FCGMIL) was developed by using the concept and properties of frequency-domain Cross-Gramian information. The performance index of FCGMIL is to minimize the frequency-domain Cross-Gramian information loss caused by eliminating the state variables with weak contributions to Cross-Gramian information over some frequency band. Two numerical examples are illustrated to verify the efficiency of FCGMIL. 2010 IEEE.
Neural networks in finance and economics forecasting
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2007, 卷号: 6, 期号: 1, 页码: 113-140
作者:
Huang, Wei
;
Lai, Kin Keung
;
Nakamori, Yoshiteru
;
Wang, Shouyang
;
Yu, Lean
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2018/07/30
artificial neural networks
finance forecasting
economic forecasting
input variables selection
performance comparisons
path-oriented test data generation using symbolic execution and constraint solving techniques
会议论文
OAI收割
2nd International Conference on Software Engineering and Formal Methods, Beijing, PEOPLES R CHINA, SEP 28-30,
Zhang J
;
Xu C
;
Wang XL
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2011/07/29
automatic test data generation
breadth-first search
constraint solving
depth-first search
extended finite state machine
input program
input test data
input variables
path-oriented test data generation
program bug
software engineering
symbolic e