检索结果-内蒙古大学图书馆

International Conference on Services systems and Services Management, ICSSSM

作者： Dehui Xu Li Zhao Gang Li Linyan Sun School of Management The State Key Laboratory on Mechanic Manufacturing System Engineering The Key Laboratory of the Ministry of Education on Process Control and Efficiency Engineering Xi''an Jiaotong University Xi'an China

ISBN: (纸本)9781424464852;9781424464876

Supply chain integration nowadays is considered as an important approach to building and sustaining advantages. Many previous empirical researches focus on the effect of supply chain integration on the firms' performance, yet, the antecedence of supply chain integration is still largely unknown. This paper investigates the relationship between environmental uncertainty (including demand uncertainty, supply uncertainty and technology uncertainty) and supply chain integration (including customer integration, supplier integration and internal integration) with 139 samples from Chinese manufacturing industry. The results reveal both supply uncertainty and technology uncertainty significantly influence supply chain integration; the effect of supply uncertainty is negative, while that of technology uncertainty is positive. However, demand uncertainty just has a significant effect on internal integration. The relationship between demand uncertainty and external integration (including customer integration and supplier integration) is mediated by the internal integration.

关键词： Uncertainty Supply chains Manufacturing industries Costs Collaboration Supply chain management Environmental management Engineering management Manufacturing systems systems engineering and theory

来源：评论

学校读者我要写书评

暂无评论

Bidding Strategy Based on Adaptive Particle Swarm Optimization for Electricity Market

Bidding Strategy Based on Adaptive Particle Swarm Optimizati...

引用

The 8th World Congress on Intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Jianhuan Zhang Yingxin Wang Rui Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

In an open electricity market, generation companies (GENCO) have to optimally bid to gain more profits with incomplete information of other competing generators. In this structure, market participants must develop their bids in order to maximize their profits. Building optimal bidding strategies for GENCO could need to evaluate some market parameters such as forecasting market-clearing price (MCP), non-convex production cost function and forecasting load. A new framework to build bidding strategies for GENCO in an electricity market is presented in this paper. A normal probability distribution function (PDF) is used to describe the bidding behaviors of other competing generators. Bidding strategy of a generator for each trading period in a day-ahead market is solved by a new adaptive particle swarm optimization APSO). APSO can dynamically follow the frequently changing market demand and supply in each trading interval. A numerical example serves to illustrate the essential features of the approach and the results are compared with the solutions by other PSO algorithms.

关键词： Optimization Particle swarm optimization Generators Power generation Electricity supply industry Companies Markov processes

来源：评论

学校读者我要写书评

暂无评论

Generalized predictive control for wind turbine systems

Generalized predictive control for wind turbine systems

引用

IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Hua Wang Guolian Hou Jinfang Zhang Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

ISBN: (纸本)9781424450459;9781424450466

It is difficult to deal with the variable speed constant frequency (VSCF) wind turbine systems due to the stochastic characteristics and the pneumatic effects of wind. In this paper, a new pitch controller based on generalized predictive control theory is designed to improve the power-output quality of variable speed constant frequency wind turbines. An application to a 300MW wind turbines is given, and simulation results show that the proposed method is effective in wind speed interference suppression and constant out power.

关键词： Predictive control Wind turbines Mathematical model Wind speed Power system modeling Rotors Shafts Wind power generation Frequency Wind energy generation

来源：评论

学校读者我要写书评

暂无评论

Forecasting next-day electricity prices with Hidden Markov Models

Forecasting next-day electricity prices with Hidden Markov M...

引用

IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Jingyue Wang Rui Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

Next-day electricity prices forecasting is essential to consumers and producers. Due to the stochastic characteristics of the electricity price time series, a novel model of electricity price forecasting is presented based on the Hidden Markov Model (HMM). The factors impacting the electricity price forecasting are discussed. The proposed approach is utilized in an electricity market, the results show the effectiveness.

关键词： Hidden Markov models Economic forecasting Stochastic processes Predictive models Technology forecasting Energy consumption Power markets Support vector machines Probability distribution Laboratories

来源：评论

学校读者我要写书评

暂无评论

Fuzzy dynamic characteristic modeling and intelligent adaptive control for complex spacecraft

Fuzzy dynamic characteristic modeling and intelligent adapti...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Xiong Luo Song Hu Zengqi Sun Xintao Qiu School of Information Engineering Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing China State Key Laboratory of Intelligent Technology and System Department of Computer Science and Technology Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

Because of strong coupling, nonlinear, and time-varying characteristics, it is difficult to control complex spacecraft. By means of combining with controlled object dynamics and performance requirements, characteristic modeling and control approach is an effective way to solve this problem. Aimed at the flexible satellites described by using characteristic modeling approach, with the help of fuzzy rules, fuzzy dynamic characteristic modeling method and intelligent adaptive controller are designed to control this complex spacecraft. Meanwhile, based on the satellite system simulation platform, we validate the correctness and efficiency of the proposed modeling and control method by comparing with the simulation results of the other similar methods.

关键词： Adaptation model Laboratories Satellites Space vehicles Intelligent control Artificial intelligence information science

来源：评论

学校读者我要写书评

暂无评论

Dynamic modeling and tracking control of fuel filled space robotic system with flexible manipulators

Dynamic modeling and tracking control of fuel filled space r...

引用

International Symposium on systems and control in Aerospace and Astronautics (ISSCAA)

作者： Xinxin Yang Xiong Luo Fuchun Sun Fengge Wu Huaping Liu School of Information Engineering Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing China State Key Laboratory of Intelligent Technology and System Department of Computer Science and TechnologyTsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

In recent years, dynamics model and control of space robot system are the hot topics in the research field. In this paper, a new dynamics model and control strategy of space robotic system with a flexible manipulator and a liquid fuel tank are investigated. Based on Lagrange equation method, the dynamics model of the space robotic system coupling with liquid sloshing, flexibility vibration and base movement is derived. The elastic deflection of the flexible manipulator is described by the assumed mode method and equivalent mechanical model is adopted instead of liquid sloshing under the environment of low-gravity. The inverse dynamics control algorithm combined with PD control method is performed to solve the trajectory tracking problem. Some simulation results are given to verify the effectiveness of the proposed method.

关键词： Mathematical model Aerospace electronics Manipulator dynamics Equations Space vehicles

来源：评论

学校读者我要写书评

暂无评论

A New Model Based on Improved ACA and BP to Predict Silicon Content in Hot Metal

A New Model Based on Improved ACA and BP to Predict Silicon ...

引用

International Conference on Computer Modeling and Simulation, ICCMS

作者： Li Wang Dong-qing Wang Jia-jun Zhu Xiang Zhao Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education School of Information Engineering University of Science and Technology Beijing China

A new model based on improved ant colony algorithm (ACA) and backpropagation (BP) is proposed to predict Silicon content of hot metal in blast furnace. BP algorithm has been widely used in training artificial neural network (ANN), which is an outstanding model to predict Silicon content. BP algorithm has many attractive features, such as adaptive learning, self- organism, and fault tolerant ability. All of them make BP one of the most successful algorithms in various fields. But BP suffers from relatively slow convergence speed, extensive computations and possible divergence for certain conditions. As a new bionic algorithm, the improved ACA has gained very good performance in solving traveling salesman problem (TSP) and other optimization problems. Its properties such as distributed computation, heuristic searching and robustness have well conquered the long convergence speed and premature problem, which are the main deficiencies of BP algorithm. Experiments show the model proposed has good performance in predicting Silicon content of hot metal.

关键词： Predictive models Silicon Backpropagation algorithms Artificial neural networks Convergence Blast furnaces Organisms Fault tolerance Traveling salesman problems Distributed computing

来源：评论

学校读者我要写书评

暂无评论

A new model based on improved PSO and BP to predict silicon content in hot metal

A new model based on improved PSO and BP to predict silicon ...

引用

International Conference on Computer and Automation Engineering, ICCAE

作者： Li Wang Dong-qing Wang Ning Ding Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) School of Information Engineering University of Science and Technology Beijing Beijing China

In the smelting process of blast furnace, maintaining the temperature at an acceptable level is the key to ensure the smelting at a good level. The hot metal Silicon content is not only the indication of the blast furnace thermal state and its changes, but also the significant indicator for assessing the blast furnace's stability and the quality of iron. Therefore, as the core content of automatic control of blast furnace, it is crucial to create a model to predict Silicon content of hot metal. Using the online data of a steel company's blast furnace, a new model based on improved Particle Swarm Optimization (PSO) and Back-propagation (BP) is proposed to predict Silicon content of hot metal in blast furnace. As a new bionic algorithm, the improved PSO has gained very good performance in some classical optimization problems. Its properties such as fast searching, global searching have well conquered the long convergence speed and premature problem, which are the main deficiencies of BP algorithm. Compared with pure BP algorithm and basic PSO, experimental results show the model proposed has good performance in predicting Silicon content of hot metal.

关键词： Predictive models Silicon Blast furnaces Smelting Temperature Thermal stability Iron Automatic control Steel Particle swarm optimization

来源：评论

学校读者我要写书评

暂无评论

Fault Detection Filter Design for Linear Polytopic Uncertain Continuous-time systems

引用

自动化学报 2010年第5期36卷 742-750页

作者： WANG Heng JU He-Hua YANG Guang-Hong College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 P.R. China Key Laboratory of Integrated Automation for the Process Industry Ministry of Education Shenyang 110004 P. R. China College of Information Science and Engineering Northeastern University Shenyang 110004 P. R. China

The paper studies the problem of fault detection filter design for uncertain linear continuous-time systems.A design procedure dealing with parameter uncertainties is proposed for residual generation,the sensitivity to fault and the robustness against disturbances are both enhanced on residual outputs through satisfying some performance *** the aid of the generalized Kalman-Yakubovich-Popov(GKYP)lemma,the fault sensitivity performance index can be dealt with in the given frequency range directly,which avoids approximations associated with frequency weights of the existing *** iterative algorithm based on linear matrix inequality(LMI)is given to obtain the solutions.A numerical example is given to illustrate the effectiveness of the proposed methods.

关键词：不连续系统 LMI GKYP 自动化系统

来源：评论

学校读者我要写书评

暂无评论

Minimum entropy filtering for networked control systems via information theoretic learning approach

Minimum entropy filtering for networked control systems via ...

引用

作者： Zhang, Jianhua Cai, Lei Wang, Hong Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing 102206 China North China Electric Power University Beijing 102206 China University of Manchester Manchester M60 1 QD United Kingdom

ISBN: (纸本)9780955529337

In this paper, a mmlmum entropy filter is presented for estimating states in networked control systems with multiple-packet transmission mechanism and non-Gaussian time-delay and noises. The filter is designed for nonlinear NeSs via information theoretic learning approach based on stochastic gradient algorithm. A numerical example is given to illustrate the effectiveness of the proposed scheme.

关键词： Networked control systems

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：