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检索条件"机构=Key Laboratory of Advanced Control and Optimization for Chemical Process"
697 条 记 录,以下是151-160 订阅
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An improved particle swarm algorithm based on cultural algorithm for constrained optimization
An improved particle swarm algorithm based on cultural algor...
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作者: Wang, Lina Cao, Cuiwen Xu, Zhenhao Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai 200237 China
This paper develops an improved particle swarm optimization algorithm based on cultural algorithm for constrained optimization problems. Firstly, chaos method is utilized in the initialization process of single swarm ... 详细信息
来源: 评论
A hybrid differential evolution algorithm integrated with particle swarm optimization  3
A hybrid differential evolution algorithm integrated with pa...
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3rd International Workshop on advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013
作者: Fan, Qinqin Yan, Xuefeng Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China
In order to implement self-adaptive control parameters, a hybrid differential evolution algorithm integrated with particle swarm optimization (PSODE) is proposed. In PSODE, control parameters are encoded to be a symbi... 详细信息
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Real time optimization of the gasoline blending process with unscented Kalman filter
Real time optimization of the gasoline blending process with...
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2011 International Conference on Internet Computing and Information Services, ICICIS 2011
作者: Cheng, Hui Zhong, Weimin Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China
Gasoline blending is a critical process in petroleum refineries. Real-time optimization (RTO) techniques have been popular with the applications for the blending process for optimization purpose. However the dependenc... 详细信息
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Specific index-related process monitoring using a two-step information extraction method  30
Specific index-related process monitoring using a two-step i...
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30th Chinese control and Decision Conference, CCDC 2018
作者: Zhao, Bo Song, Bing Tan, Shuai Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China
Specific index-related process monitoring covers a wide range of requirements from industrial production. At present, it is still a challenge to divide into the specific index-related information and the specific inde... 详细信息
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An improved particle swarm optimization algorithm based on two kinds of chaotic maps  3
An improved particle swarm optimization algorithm based on t...
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3rd International Workshop on advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013
作者: Li, MingHao Wang, XueWu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China
Particle swarm optimization algorithm tends to fall into local optimum sometimes. To resolve this problem, an improved particle swarm optimization algorithm based on two kinds of different chaotic maps is proposed. Th... 详细信息
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Graph-based semisupervised learning for icing fault detection of wind turbine blade
Graph-based semisupervised learning for icing fault detectio...
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作者: Yi, Huaikuan Jiang, Qinchao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China
The detection of blade icing faults in wind farms is an important task in improving the reliability and safety of wind power systems. Detection is primarily achieved through supervised learning, using labeled samples.... 详细信息
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Locust behaved particle swarm optimization technique  3
Locust behaved particle swarm optimization technique
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3rd International Workshop on advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013
作者: Zhong, Wei-Min Xie, Xue-Qin Liang, Yi Luo, Na Zhang, Juan Qian, Feng East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai200237 China
The collective behavior of certain animals and insects has the characteristic of self-organization. The simple interactions among individuals can produce complex adaptive patterns at the level of the group. Recently, ... 详细信息
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Quantized H∞ control for networked systems with randomly multi-step transmission delays
Quantized H∞ control for networked systems with randomly mu...
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作者: Zhang, Yilian Yang, Fuwen Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China
In this paper, a quantized H∞ control problem for networked control systems (NCSs) subject to randomly multi-step transmission delays is investigated. A quantizer is used before the measurement signal enters the comm... 详细信息
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Fault diagnosis of CTA hydrogenation process based on KPCA  3
Fault diagnosis of CTA hydrogenation process based on KPCA
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3rd International Workshop on advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013
作者: Li, Bo Li, Zhi Luo, Na Zhong, Weimin East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai200237 China
As the large amounts of operate data collected from Distributed control System (DCS) often contain outliers and these data are more complexity and nonlinearity. They can't be used directly to model, optimization a... 详细信息
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A novel approach for moving object detection based on improved particle swarm optimization algorithm
A novel approach for moving object detection based on improv...
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2010 8th IEEE International Conference on control and Automation, ICCA 2010
作者: Yu, Jin Zhou, Xuan Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China
In order to extract from the video sequence in a complete and consistent moving target, a novel algorithm for video object segmentation based on improved particle swarm optimization (IPSO) is presented. The algorithm ... 详细信息
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