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Optimization of Locations and Fiber Orientations of Piezocomposite Actuators on Flexible Wings for Aeroelastic Control
期刊论文
JOURNAL OF AEROSPACE ENGINEERING, 2019, 卷号: 32
作者:
Zhou, Wenya
;
Wang, Xiaoming
;
Qian, Wei
;
Wu, Wenhua
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浏览/下载:5/0
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提交时间:2019/12/02
Flexible wings
Aeroelastic control
Piezocomposite actuators
Fiber orientation
Controllability Gramian matrix
Optimization
Robust $H_\infty$ Control of Doubly Fed Wind Generator Via State-Dependent Riccati Equation Technique
期刊论文
IEEE Transactions on Power Systems, 2018
作者:
Qin, Boyu
;
Sun, Haoyuan
;
Ma, Jin
;
Li, Wei
;
Ding, Tao
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浏览/下载:9/0
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提交时间:2019/11/19
Algebraic Riccati equations
Controllability gramian
Doubly fed induction generator (DFIG)
Doubly Fed Induction generators (DFIG)
Fault ride through capability
Input-to-state stability
State dependent coefficients
State-dependent Riccati equation
Optimal placement of TCSC using controllability Gramian to damp power system oscillations
期刊论文
International Transactions on Electrical Energy Systems, 2016, 卷号: Vol.26 No.7, 页码: 1493-1510
作者:
Le, V
;
Li, XR
;
Li, Y
;
Cao, YJ
;
Le, C
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浏览/下载:5/0
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提交时间:2019/12/31
controllability Gramian
balanced realization reduction technique
TCSC
power system oscillations
optimal placement
An optimal location of static VAr compensator based on Gramian critical energy for damping oscillations in power systems
期刊论文
IEEJ Transactions on Electrical and Electronic Engineering, 2016, 卷号: Vol.11 No.5, 页码: 577-585
作者:
Dai, LV
;
Li, XR
;
Li, PQ
;
Quyen, LC
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浏览/下载:4/0
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提交时间:2019/12/31
controllability Gramian
power system oscillations
SVC
optimal placement
IEEE 39-bus England power system
An information theoretic approach to model reduction based on frequency-domain Cross-Gramian information (EI CONFERENCE)
会议论文
2010 8th World Congress on Intelligent Control and Automation, WCICA 2010, July 7, 2010 - July 9, 2010, Jinan, China
Fu J.
;
Zhong C.
;
Ding Y.
;
Zhou J.
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浏览/下载:22/0
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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.
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