检索结果-内蒙古大学图书馆

A Discrete Artificial Bee Colony Algorithm for Minimizing the Total Flow Time in the Blocking Flow Shop Scheduling

Chinese Journal of Chemical Engineering 2012年第6期20卷 1067-1073页

作者：邓冠龙徐震浩顾幸生 Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

A discrete artificial bee colony algorithm is proposed for solving the blocking flow shop scheduling problem with total flow time criterion. Firstly, the solution in the algorithm is represented as job permutation. Secondly, an initialization scheme based on a variant of the NEH (Nawaz-Enscore-Ham) heuristic and a local search is designed to construct the initial population with both quality and diversity. Thirdly, based on the idea of iterated greedy algorithm, some newly designed schemes for employed bee, onlooker bee and scout bee are presented. The performance of the proposed algorithm is tested on the well-known Taillard benchmark set, and the computational results demonstrate the effectiveness of the discrete artificial bee colony algorithm. In addition, the best known solutions of the benchmark set are provided for the blocking flow shop scheduling problem with total flow time criterion.

关键词： blocking flow shop scheduling artificial bee colony algorithm total flow time

来源：评论

学校读者我要写书评

暂无评论

Event-trigged control for Discrete-time Multi-agent Networks

Event-trigged Control for Discrete-time Multi-agent Networks

引用

Asian control Conference

作者： Lulu Li Daniel W. C. Ho Yuanyuan Zou Chi Huang Jianquan Lu Department of Mathematics City University of Hong Kong Hong Kong. Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai 200237 China Department of Mathematics Taiyuan University of Technology Taiyuan 030024 China. Department of Mathematics Southeast University Nanjing 210096 China.

ISBN: (纸本)9781467357661

In this paper, a new control strategy was proposed to deal with the discrete-time multi-agent consensus problem. Two types of protocols are discussed in this paper: i) networks of single-integrators without delay under centralized eventtriggered control and ii) networks of single-integrators with delay under distributed event-triggered control. For each consensus protocol, we prove that the multi-agent network will achieve consensus asymptotically. Numerical examples are provided to demonstrate the effectiveness of the obtained theoretical results.

关键词： Multi-agent networks consensus event-triggered control time delay

来源：评论

学校读者我要写书评

暂无评论

Si-based HIT solar cells via a single-chamber ICP system

Si-based HIT solar cells via a single-chamber ICP system

引用

第九届中国太阳级硅及光伏发电研讨会

作者： Zhou Haiping Xu Shuyan Xiao Shaoqing Xiang Yong Zhang Shu School of Energy Science and EngineeringUniversity of Electronic Science and Technology of ChinaChen Nanyang Technological University NIE and IASNanyang walk 1637616Singapore Key Laboratory of Advanced Process Control for Light Industry(Ministry of education) Department of E

来源：评论

学校读者我要写书评

暂无评论

Stochastic bounded consensus tracking of leader-follower multi-agent systems with measurement noises and sampled-data

引用

Chinese Physics B 2012年第12期21卷 568-575页

作者：吴治海彭力谢林柏闻继伟 The Key Laboratory for Advanced Process Control of Light Industry of the Ministry of Education School of Internet of Things EngineeringJiangnan University The State Key Laboratory for Digital Manufacturing Equipment and Technology School of Mechanical Science and EngineeringHuazhong University of Science and Technology

This paper is concerned with the stochastic bounded consensus tracking problems of leader-follower multi-agent systems, where the control input of an agent can only use the information measured at the sampling instants from its neighbours or the virtual leader with a time-varying reference state, and the measurements are corrupted by random noises. The probability limit theory and the algebra graph theory are employed to derive the necessary and sufficient conditions guaranteeing the mean square bounded consensus tracking. It is shown that the maximum allowable upper boundary of the sampling period simultaneously depends on the constant feedback gains and the network topology. Furthermore, the effects of the sampling period on the tracking performance are analysed. It turns out that from the view point of the sampling period, there is a trade-off between the tracking speed and the static tracking error. Simulations are provided to demonstrate the effectiveness of the theoretical results.

关键词： leader-follower multi-agent systems stochastic bounded consensus tracking measurement noises sampled-data

来源：评论

学校读者我要写书评

暂无评论

Modeling and Fault Monitoring of Bioprocess Using Generalized Additive Models （GAMs） and Bootstrap

引用

Chinese Journal of Chemical Engineering 2012年第6期20卷 1180-1183页

作者：郑蓉建周林成潘丰 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi 214122 China Faculty of Electrical Engineering Huaiyin Institute of Technology Huai'an 223003 China

Fault monitoring of bioprocess is important to ensure safety of a reactor and maintain high quality of products. It is difficult to build an accurate mechanistic model for a bioprocess, so fault monitoring based on rich historical or online database is an effective way. A group of data based on bootstrap method could be resampling stochastically, improving generalization capability of model. In this paper, online fault monitoring of generalized additive models （GAMs） combining with bootstrap is proposed for glutamate fermentation process. GAMs and bootstrap are first used to decide confidence interval based on the online and off-line normal sampled data from glutamate fermentation experiments. Then GAMs are used to online fault monitoring for time, dissolved oxygen, oxygen uptake rate, and carbon dioxide evolution rate. The method can provide accurate fault alarm online and is helpful to provide useful information for removing fault and abnormal phenomena in the fermentation.

关键词： bioprocess fault monitoring generalized additive model glutamic acid fermentation bootstrap modeling

来源：评论

学校读者我要写书评

暂无评论

Synchronization of nonlinear coupled networks with time-delay via distributed impulsive control

Synchronization of nonlinear coupled networks with time-dela...

引用

Chinese control Conference (CCC)

作者： Hao Zhang Gang Feng Huaicheng Yan Qijun Chen Department of Control Science and Engineering Tongji University Shanghai 200092 China Department of Mechanical & Biomedical Engineering City University of Hong Kong Hong Kong Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 China

In this paper, the synchronization of a nonlinear network with time-varying coupling delay is investigated via distributed impulsive control. Our objective is to design the distributed impulsive controller with minimum coupling strength such that the nonlinear network with coupling delay is globally exponentially synchronous. Some sufficient conditions have been derived based on Lyapunov-Razumikhin method in terms of matrix inequalities. An example is presented to illustrate the effectiveness of the proposed control methods.

关键词： Couplings Synchronization Oscillators Linear matrix inequalities Delays Network topology Topology

来源：评论

学校读者我要写书评

暂无评论

PDBSCAN: Parallel DBSCAN for Large-Scale Clustering Applications

引用

Journal of Donghua University(English Edition) 2012年第1期29卷 76-79页

作者：谢永红马延辉周芳刘颖安 School of Computer and Communication Engineering University of Science and Technology Beijing Key Laboratory for Advanced Control of Iron and Steel Process Ministry of Education University of Science and Technology Beijing

Density-based algorithm for discovering clusters in large spatial databases with noise(DBSCAN) is a classic kind of density-based spatial clustering algorithm and is widely applied in several aspects due to good performance in capturing arbitrary shapes and detecting outliers. However, in practice, datasets are always too massive to fit the serial DBSCAN. And a new parallel algorithm-Parallel DBSCAN(PDBSCAN) was proposed to solve the problem which DBSCAN faced. The proposed parallel algorithm bases on MapReduce mechanism. The usage of parallel mechanism in the algorithm focuses on region query and candidate queue processing which needed substantive computation resources. As a result, PDBSCAN is scalable for large-scale dataset clustering and is extremely suitable for applications in E-Commence, especially for recommendation.

关键词： parallel DBSCAN clustering MapReduce large-scale applications

来源：评论

学校读者我要写书评

暂无评论

Soft Sensor for Ammonia Concentration at the Ammonia Converter Outlet Based on an Improved Group Search optimization and BP Neural Network

引用

Chinese Journal of Chemical Engineering 2012年第6期20卷 1184-1190页

作者：阎兴頔杨文马贺贺侍洪波 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

The ammonia synthesis reactor is the core unit in the whole ammonia synthesis production. The ammonia concentration at the ammonia converter outlet is a significant process variable, which reflects directly the production efficiency. However, it is hard to be measured reliably online in real applications. In this paper, a soft sensor based on BP neural network (BPNN) is applied to estimate the ammonia concentration. A modified group search optimization with nearest neighborhood (GSO-NH) is proposed to optimize the weights and thresholds of BPNN. GSO-NH is integrated with BPNN to build a soft sensor model. Finally, the soft sensor model based on BPNN and GSO-NH (GSO-NH-NN) is used to infer the outlet ammonia concentration in a real-world application. Three other modeling methods are applied for comparison with GSO-NH-NN. The results show that the soft sensor based on GSO-NH-NN has a good prediction performance with high accuracy. Moreover, the GSO-NH-NN also provides good generalization ability to other modeling problems in ammonia synthesis production.

关键词： ammonia synthesis ammonia concentration soft sensor group search optimization

来源：评论

学校读者我要写书评

暂无评论

Multimode process Monitoring Based on Fuzzy C-means in Locality Preserving Projection Subspace

引用

Chinese Journal of Chemical Engineering 2012年第6期20卷 1174-1179页

作者：解翔侍洪波 Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and TechnologyMinistry of Education

For complex industrial processes with multiple operational conditions, it is important to develop effective monitoring algorithms to ensure the safety of production processes. This paper proposes a novel monitoring strategy based on fuzzy C-means. The high dimensional historical data are transferred to a low dimensional subspace spanned by locality preserving projection. Then the scores in the novel subspace are classified into several overlapped clusters, each representing an operational mode. The distance statistics of each cluster are integrated though the membership values into a novel BID (Bayesian inference distance) monitoring index. The efficiency and effectiveness of the proposed method are validated though the Tennessee Eastman benchmark process.

关键词： multimode process monitoring fuzzy C-means locality preserving projection integrated monitoring index Tennessee Eastman process

来源：评论

学校读者我要写书评

暂无评论

Peak Traffic Forecasting Using Nonparametric Approaches

引用

上海交通大学学报（英文版） 2012年第1期17卷 76-81页

作者： ZHANG Yang WANG Meng-ling Shanghai Municipal Transportation Information Center Shanghai 200032 China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237 China

States of traffic situations can be classified into peak and nonpeak periods. The complexity of peak traffic brings more difficulty to forecasting models. Travel time index (TTI) is a fundamental measure in transportation. How to master the characteristics and provide accurate real-time forecasts is essential to intelligent transportation systems (ITS). Cooperating with state space approach, least squares support vector machines (LS-SVMs) are investigated to solve such a practical problem in this paper. To the best of our knowledge, it is the first time to apply the technique and analyze the forecast performance in the domain. For comparison purpose, other two nonparametric predictors are selected because of their effectiveness proved in past research. Having good generalization ability and guaranteeing global minima, LS-SVMs perform better than the others. Providing sufficient improvement in stability and robustness reveals that the approach is practically promising.

关键词： traffic forecasting peak traffic nonparametric techniques

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：