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Chinese Academy of Sciences Institutional Repositories Grid
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自动化研究所 [4]
长春光学精密机械与物... [1]
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Decomposition Based Fuzzy Model Predictive Control Approaches for Interconnected Nonlinear Systems
期刊论文
OAI收割
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 369-388
作者:
Latifa Dalhoumi
;
Mohamed Chtourou
;
Mohamed Djemel
|
收藏
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浏览/下载:15/0
|
提交时间:2021/02/22
Model predictive control
centralized control
decentralized control
Takagi-Sugeno (TS) fuzzy models
interconnected nonlinear systems
fuzzy model predictive control
parallel distributed compensation.
Parallel Control of Distributed Parameter Systems
期刊论文
OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3291-3301
作者:
Song, Yuhua
;
He, Xiuyu
;
Liu, Zhijie
;
He, Wei
;
Sun, Changyin
|
收藏
|
浏览/下载:52/0
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提交时间:2019/01/08
Artificial system
data-driven
distributed parameter system
flexible structure
parallel control
An Adaptive Takagi-Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators
期刊论文
OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 4, 页码: 3048-3058
作者:
Cheng, Long
;
Liu, Weichuan
收藏
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浏览/下载:43/0
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提交时间:2017/05/05
Adaptive
fuzzy modeling
hysteresis
model predictive control (MPC)
parallel distributed control
piezoelectric actuators (PEAs)
An Adaptive Takagi–Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators
期刊论文
OAI收割
IEEE Transactions on Industrial Electronics, 2017, 卷号: 64, 期号: 4, 页码: 3048-3058
作者:
Long Cheng
;
Weichuan Liu
;
Zeng-Guang Hou
;
Tingwen Huang
;
Junzhi Yu
|
收藏
|
浏览/下载:19/0
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提交时间:2019/02/14
Adaptive
fuzzy modeling
hysteresis
model predictive control (MPC)
parallel distributed control
piezoelectric actuators (PEAs)
A parallel algorithm for medical images registration based on B-splines (EI CONFERENCE)
会议论文
OAI收割
4th International Congress on Image and Signal Processing, CISP 2011, October 15, 2011 - October 17, 2011, Shanghai, China
作者:
Zhang T.
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浏览/下载:30/0
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提交时间:2013/03/25
Cubic B-splines is widely applied in non-rigid registration because of its approximation performance and fast computational characteristics. However
a small scale non-rigid deformation is needed to characterize by a large number of control points. Moreover
an iterative optimization strategy of the non-rigid registration algorithm and the normalized mutual information (NMI) cost a great quantity calculation. So
the process of the non-rigid registration is slowed by calculations of NMI in a iterative optimization strategy. In this paper
a parallel optimization algorithm based on cubic B-splines functions is proposed to parallelize the optimization algorithm of the nonrigid registration and the calculations of normalize mutual information. In practice
a fast algorithm of cubic B-splines is used and the control points are only distributed on the targets. Experiments show that the use of the fast algorithm and the parallel optimization strategy improves the non-rigid registration process of medical images. 2011 IEEE.
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