检索结果-内蒙古大学图书馆

International Conference on Internet Computing and Information Services (ICICIS)

作者： Hui Cheng Weimin Zhong Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 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 dependency of RTO on the measurement of the component impairs its applicability. Therefore how to utilize the blending model and the product measurement to free RTO from the component measurement is the major research topic in this paper. Unscented Kalman Filter, due to its ability to estimate the parameter for nonlinear model, is chosen to estimate component properties based on the product measurement. The RTO strategy is then proposed with the UKF method for the recipe calculation periodically. Furthermore, the proposed RTO is tested with the gasoline blending benchmark problem, while the results are compared with the ideal blending case. The accuracy of the component estimation and the efficiency of the RTO are verified with the results.

关键词： Mathematical model Petroleum optimization Equations Kalman filters Vectors Covariance matrix

来源：评论

学校读者我要写书评

暂无评论

Integration of multi-feature for moving target detection algorithm

Integration of multi-feature for moving target detection alg...

引用

International Conference on Electrical and control Engineering, ICECE 2010

作者： Yu, Jin Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9780769540313

Moving object segmentation and marking object area is one of the key technologies of intelligent surveillance. In this paper, combining the background modeling in pixel level, the proposed algorithm presented gradient-based spatial characteristics in order to improve detection accuracy. For the trade-off problem of background modeling, established the velocity characteristics for each property of moving targets, to make online updates of the GMM more adaptable. The results indicate that this technique can improve the efficiency and stability of detection. © 2010 IEEE.

关键词： Economic and social effects

来源：评论

学校读者我要写书评

暂无评论

Multi-objective robust optimization based on NSGA-II and degree of robustness¯

Multi-objective robust optimization based on NSGA-II and deg...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Jie Qiang Rongbin Qi Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

This paper presents an approach to search robust optimal solutions with the concept of degree of robustness in multi-objective optimization problems. The definition of the degree of robustness is used in the calculation of the mean effective objective function(f eff (X)) and in the evolutionary process, degree of robustness is considered as a factor to select robust solutions which can meet the demand for better robustness. Some simulation results are shown to prove that this approach can control the distribution of objective value and help system improve robustness by finding solutions with better robustness. Also, the decision maker(DM) can modulate some robust parameters according to the actual robust demands which makes this approach have more practical significance.

关键词： Robustness optimization Evolutionary computation Delta modulation Simulation Algorithm design and analysis Search problems

来源：评论

学校读者我要写书评

暂无评论

Simulation of distillation unit based on artificial immune network multi-agent algorithm

引用

Huagong Xuebao/CIESC Journal 2010年第12期61卷 3186-3192页

作者： Shi, Xuhua 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 Research Institute of Electric Automatic Control Ningbo University Zhejiang Ningbo 315211 China

In petrochemical field, the process simulation for distillation is an important task. The key parameter in the distillation process simulation is the tray efficiency, which can not be obtained easily. Thus the determination of appropriate tray efficiency is an important issue. In this study, artificial immune network multi-agent optimization strategy(Maopt-aiNet), which combines immune mechanics and multi-agent technology, is used to determine the Murphree efficiency. The main search operators of Maopt-aiNet include neighborhood clonal selection, neighborhood competition, self-confidence motivation, self-confidence neighborhood learning, and neighborhood collaborative operators. Based on the process and analysis data of the distillation unit, Maopt-aiNet is applied to determine the Murphree efficiency for each stage and to minimize the square summation of model's analog relative error of the stage temperature. The experimental results show that with the tray efficiency determined by Maopt-aiNet the model fits the actual distillation unit fairly well. The method can be used to guide the operation of the distillation process. © All Rights Reserved.

关键词： Distillation

来源：评论

学校读者我要写书评

暂无评论

The time series soft-sensor modeling based on Adaboost_LS-SVM

The time series soft-sensor modeling based on Adaboost_LS-SV...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： W.-L. Du Z.-Q. Guan Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

With regards to the petrochemical processes with various operating states and dynamic performance which will affect estimation precision for the static soft sensor, a time series soft sensor model which uses the time series of process variables to estimate the dynamic performance of quality variable was proposed. Meanwhile, the integrated Adaboost learning algorithm is introduced. With the help of this method, training samples and modeling for several times, according to the modeling error to renew the next sample data, in order to obtain a series of different basic models. Every basic model will be weighted in the last step; as a result, a more precise combined LS-SVM model will be established. According to the prediction of benzene content of column reactor in the azeotropic rectification tower, the effectiveness of the method is demonstrated.

关键词： Support vector machines Time series analysis Data models chemical industry Estimation Process control Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

Event-triggered model predictive control for wireless networked control systems with packet losses

Event-triggered model predictive control for wireless networ...

引用

IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Quan Wang Yuanyuan Zou Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781479987313

This study investigates an event-triggered model predictive control for wireless networked control system with packet losses in the sensor-to-controller channel. Based on a predictive control compensation strategy, the closed-loop model with packet losses is established. The event-triggered conditions are derived by choosing the performance objective function of MPC as a Lyapunov function. Further, the maximal allowable number of successive packet losses is presented. Under the proposed mechanism, the energy consumption of the wireless network is alleviated and closed-loop stability is guaranteed. Finally, simulation results are shown to illustrate the effectiveness of the proposed method.

关键词： Packet loss Predictive control Networked control systems Wireless networks Closed loop systems Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Improving the performance of online classifier by removing the error samples from offline training data

Improving the performance of online classifier by removing t...

引用

International Conference on Computer and Communications (ICCC)

作者： Hanhan Zhang Jing Jin Sijie Zhou Yu Zhang Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

Brain-computer interface (BCI) plays an important role in helping the people with severe motor disability. In event-related potential (ERP) based BCIs, subjects were asked to count the target stimulus in the offline experiment, the recorded electroencephalogram (EEG) data was used to train the classification mode. However, subjects may make mistakes in counting the target stimulus or be affected by the non-target stimulus. The target trials may not contain expected ERPs and the non-target trials may contain unexpected ERPs, which was called error samples. This paper intends to survey whether the classification accuracy could be improved after removing these error samples from offline training data. The result showed that the online performance of BCI system could be improved after selecting the offline samples for training the classification mode.

关键词： Electroencephalography Feature extraction Training Classification algorithms Electrodes Band-pass filters Brain modeling

来源：评论

学校读者我要写书评

暂无评论

Impulsive consensus of leader-following nonlinear multi-agent systems under DoS attacks

Impulsive consensus of leader-following nonlinear multi-agen...

引用

Annual Conference of the IEEE Industrial Electronics Society

作者： Yiting Wang Wangli He Ministry of Education The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China

This paper investigates impulsive consensus of nonlinear multi-agent systems in the leader-following framework subject to denial-of-service (DoS) attacks. The case that the communication network suffers from DoS attacks is considered, which will destroy the communication link, resulting in switching topologies. Based on the assumption that the system can recover from DoS attacks, sufficient conditions on the design of the impulse interval and the impulse attack ratio that the system can sustain is provided. A numerical example is given to validate the effectiveness of our theoretical results.

关键词： Multi-agent systems Topology Switches Denial-of-service attack Network topology Communication networks

来源：评论

学校读者我要写书评

暂无评论

Automatic Sleep Stage Classification by a Density-Distance-Based K-means Clustering Algorithm with Amendments

Automatic Sleep Stage Classification by a Density-Distance-B...

引用

International Congress on Image and Signal Processing, BioMedical Engineering and Informatics

作者： Ying Yu Bei Wang Jing Jin Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai China

Sleep staging has important significance for the monitoring, prevention and treatment of sleep disorders. In this study, the clustering algorithm of K-means is investigated in order to realize the automatic sleep stage classification. Unlike the traditional K-means clustering algorithm, density-distance-based processing procedures were presented to determine the cluster centers. Additionally, the clustering results were amended based on the regularity of sleep stages during one's overnight sleep process. The presented algorithm was tested and analyzed in detail with six subjects from the Sleep-EDF database. The averaged accuracy is about 74%. Comparing with the traditional K-means clustering algorithm, the developed algorithm achieved more accurate and reasonable sleep staging results which can be an assistant tool for clinical inspection.

关键词： Sleep Clustering algorithms Electroencephalography Support vector machines Signal processing algorithms Electrodes Databases

来源：评论

学校读者我要写书评

暂无评论

Pulse-Modulated Intermittent control for Scaled Consensus of Second-Order Multi-Agent Systems

Pulse-Modulated Intermittent Control for Scaled Consensus of...

引用

IEEE International Symposium on Industrial Electronics (ISIE)

作者： Hualiang Guo Wangli He The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

The scaled consensus problem for second-order multi-agent systems is studied in this paper. A novel scaled consensus algorithm combining impulsive control and sampled control is proposed to make the agents' states achieve a common quantity but of their own scales. In the proposed algorithm, a special function, named intermittent function, is introduced to represent the control duration and the rest duration. Specifically, by selecting special functions as the proposed intermittent functions, the scaled consensus algorithm can drop into impulsive control or sampled control. Several necessary and sufficient conditions are derived to ensure scaled consensus of the controlled second-order multi-agent systems under directed graph. An example is provided to validate the theoretical analysis.

关键词： Multi-agent systems Convergence Graph theory control systems Satellites Continuous time systems Nickel

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：