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浏览/检索结果: 共5条,第1-5条 帮助

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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  |  浏览/下载:15/0  |  提交时间:2021/02/22
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  |  提交时间:2019/01/08
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  |  浏览/下载:43/0  |  提交时间:2017/05/05
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  |  提交时间:2019/02/14
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.
收藏  |  浏览/下载:30/0  |  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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