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作者： Zhou, Zewei Feng, Yiping Rong, Gang Zhu, Feng State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9783902661937

A virtual factory integrated manufacturing system combined with system simulation and virtual reality is introduced in this paper. We describe the system architecture and development methodology, provide the working principle of process simulation and monitoring in virtual factory, and then explain the detailed applications of virtual factory integrated manufacturing system. With the visualization and three-dimensional human-computer interaction about process and production data, this platform can provide effective supports on monitoring, control and operation of manufacturing system. © 2011 IFAC.

关键词： Virtual reality

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Stabilization on a class of networked control systems with random communication delay

Stabilization on a class of networked control systems with r...

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作者： Sun, Tao Su, Hongye Wu, Zhengguang State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9783902661937

This paper is concerned with the stabilization problem of wireless networked control systems with network-induced delays of time-varying Markovian characterization. The effects of the sample rate changing on the network induced delay is the main topic. At first place, the time delay matrices changing stochastically and arbitrarily are considered. A state feedback controller is designed to guarantee the resulting close-loop system stochastically stable. Following that, a bridge is built to give out a uniform work.A numerical example is presented to illustrate the effectiveness and potential of the developed theoretical results. © 2011 IFAC.

关键词： Networked control systems

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A design of artificial high-rise building evacuation systems under fires

A design of artificial high-rise building evacuation systems...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Hu, Yu-Ling Liu, Xi-Wei School of Automation Beijing Institute of Technology Beijing 100081 China School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture Beijing 100044 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

Because the structure and function of a high-rise building is complex and the density of occupants is high, and the rescue from outside is very difficult, safe and timely evacuation is an important issue under high-rise building fires. Worsely, it is impossible to do experiments for economic, moral, or even legal reasons. In this paper, based on an ACP (artificial systems, computational experiments, parallel excution) approach, a design of an artificial evacuation system for computational experiments research on societies evacuation strategies is proposed. Based on the buildingEXODUS platform, the agent technology is used to build the high-rise building architectures and occupant individuals who have autonomous activities. By using CFAST software, numerical calculation technology is used to build several kinds of fire scenarios. By interactions and influences, an artificial evacuation system can be built. © 2012 IEEE.

关键词： Fires

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Editorial-neural networks and learning systems come together

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IEEE Transactions on Neural Networks and Learning systems 2012年第1期23卷 1-6页

作者： Baesens, Bart Bouboulis, Pantelis Cruces, Sergio Domeniconi, Carlotta Ikeda, Shiro Li, Xuelong Melin, Patricia Rao, V. Sree Hari Schuller, Björn W. Shen, Yi Tang, Huajin Wang, Cong Yang, Jian Zhao, Dongbin Liu, Derong Catholic University of Leuven Belgium University of Athens Greece University of Seville Spain George Mason University United States Institute of Statistical Mathematics Japan University of London United Kingdom Tijuana Institute of Technology Mexico Jawaharlal Nehru Technological University India Technische Universität München Germany Huazhong University of Science and Technology China Institute for Infocomm Research Singapore Singapore South China University of Technology China Nanjing University of Science and Technology China Chinese Academy of Sciences China State Key Laboratory of Management Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Electrical Computer Engineering University of Illinois Chicago IL 60607 United States

This issue marks the beginning of the IEEE Transactions on Neural Networks and Learning systems (TNNLS). By adding «Learning systems» to the title, we now state explicitly the scope of the TRANSACTIONS to include neural networks as well as related learning systems. This issue marks a new era in the history of our TRANSACTIONS. The TRANSACTIONS is now ready to face the challenges of the next 10-20 years. With the evolution of the fields of neural networks in particular and computational intelligence in general, the IEEE Transactions on Neural Networks and Learning systems will continue to grow and to succeed in this ever-changing world. Also included are a few comments about the review process of TNN manuscripts and the introduction of 14 new TNNLS Associate Editors. © 2012 IEEE.

关键词： Learning systems

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A hierarchical neural network architecture for classification

A hierarchical neural network architecture for classificatio...

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9th International Symposium on Neural Networks, ISNN 2012

作者： Wang, Jing He, Haibo Cao, Yuan Xu, Jin Zhao, Dongbin Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston RI 02881 United States MathWorks Inc. Natick MA 01760 United States Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken NJ 07030 United States State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9783642313455

In this paper, a hierarchical neural network with cascading architecture is proposed and its application to classification is analyzed. This cascading architecture consists of multiple levels of neural network structure, in which the outputs of the hidden neurons in the higher hierarchical level are treated as an equivalent input data to the input neurons at the lower hierarchical level. The final predictive result is obtained through a modified weighted majority vote scheme. In this way, it is hoped that new patterns could be learned from hidden layers at each level and thus the combination result could significantly improve the learning performance of the whole system. In simulation, a comparison experiment is carried out among our approach and two popular ensemble learning approaches, bagging and AdaBoost. Various simulation results based on synthetic data and real data demonstrate this approach can improve the classification performance. © 2012 Springer-Verlag.

关键词： Adaptive boosting

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Reliable Facility systems Based on the p-median Problem Subject to Edge Failures

Reliable Facility Systems Based on the p-median Problem Subj...

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2012 3rd International Conference on Information technology for Manufacturing systems(ITMS 2012)

作者： Zongtian Wei Shenggui Zhang Nannan Qi Department of Applied Mathematics Northwestern Polytechnical University The State Key Laboratory for Manufacturing Systems Engineering (Xi'an Jiao Tong University) Science and Technology on EO-control Laboratory Luoyang Institute of Electro-optic Equipment

The reliability of a facility system is to a large degree adversely affected by the edge facility failures. In this paper, we consider the design of reliable facility systems based on the classical p-median problem subject to edge failures. A reliable model is formulated and a scenario based algorithm is applied for computing an instance. The results show that the reliability of a facility system will increase when considering the edge facility failures in locating decision.

关键词： facility system reliability edge failure location problem

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Model predictive control performance assessment using a prediction error benchmark

Model predictive control performance assessment using a pred...

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作者： Zhang, Rongjin Zhang, Quanling Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China

Model predictive control technology can now be found widely in a variety of applications including petroleum, chemical and papermaking industries. An approach is proposed to decide a benchmark and monitor model predictive control performance on-line. A performance measure based on multi-step prediction error benchmark is shown to be more realistic without the requirement of process models or interactor matrix. A practical on-line monitoring strategy is presented which emphasizes the use of routine operating data plus the order of the interactor matrix to determine when it becomes worthwhile to re-identify the plant dynamics and re-install the model predictive control application. © 2011 Zhejiang University.

关键词： Model predictive control

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Research on multivariable control performance assessment techniques

Research on multivariable control performance assessment tec...

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作者： Huang, Qizhen Zhang, Quanling Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China

To avoid the problem of estimating a general interactor, an improved computational method for user-specified benchmark is presented in this paper. The improved user-specified benchmark together with the historical benchmark are then specified as two parallel benchmarks to form an integrated performance assessment strategy, which can detect any change in the performance of a control system and identify the potential improvement that can be made to the performance of the control system. Simulated examples are provided to illustrate the validity of the proposed methods. © 2011 Zhejiang University.

关键词： Benchmarking

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The perspective of industrial control driven by global economy and information technologies

The perspective of industrial control driven by global econo...

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作者： Lu, Yong-Zai Chu, Jian State Key Laboratory of Industrial Control Technology Institute of Cyber Systems and Control Zhejiang University Hangzhou China

The development of next generation of industrial control to meet business requirement and elegantly utilize the latest information technologies has been a challenge and opportunity to industrial control community in coming decades. The purposes of this presentation are to provide an analytical review of the recent trends of future industrial controls, and then to investigate the potential applications of internet of things, sensor network and the concept of smart planet in building an enterprise-wide industrial control systems with integration of control, computer, communication and network technologies. Finally, a number of open R&D problems are proposed in the section of concluding remarks. © 2011 Zhejiang University.

关键词： Sensor networks

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Study on the Rationality and Validity of Probit Models of Domino Effect to Chemical Process Equipment caused by Overpressure

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Journal of Physics: Conference Series 2013年第1期423卷

作者： Dongliang Sun Guangtuan Huang Juncheng Jiang Mingguang Zhang Zhirong Wang State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resources and Environmental Engineering East China University of Science and Technology No. 130 Meilong Road Xuhui District Shanghai 200237 China To whom any correspondence should be addressed Jiangsu Key Laboratory of Urban and Industrial Safety Institute of Safety Engineering School of Urban Construction and Safety Engineering Nanjing University of Technology No. 200 North Zhongshan Road Nanjing 210009 Jiangsu China

Overpressure is one important cause of domino effect in accidents of chemical process equipments. Some models considering propagation probability and threshold values of the domino effect caused by overpressure have been proposed in previous study. In order to prove the rationality and validity of the models reported in the reference, two boundary values of three damage degrees reported were considered as random variables respectively in the interval [0, 100%]. Based on the overpressure data for damage to the equipment and the damage state, and the calculation method reported in the references, the mean square errors of the four categories of damage probability models of overpressure were calculated with random boundary values, and then a relationship of mean square error vs. the two boundary value was obtained, the minimum of mean square error was obtained, compared with the result of the present work, mean square error decreases by about 3%. Therefore, the error was in the acceptable range of engineering applications, the models reported can be considered reasonable and valid.

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