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

作者： Han, Feng Liu, Xiwei Shang, Xiuqin Cheng, Changjian Li, Bo Fan, Dong Olefine Plant SINOPEC Qilu Petrochemical Co. Ltd. Zibo China School of Chemical Engineering Beijing University of Chemical Technology Beijing China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

To investigate the influences of performance management rules on human behavior in a chemical plant workshop, we construct an artificial workshop. It mainly contains human behavior model, workshop environment model including the definition of work position performance management rules and production events, and their interaction rules. The human behavior model is built based on DISC (Dominance, Influence, Steadiness, Compliance) behavior model and the Agent technology. A platform for workshop human behavior computing is finally created for computational experiments on performance management and decision-making. The platform can be used as a support for refined management in the chemical plant. © 2012 IEEE.

关键词： Chemical plants

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Business model transformation as an explanation of dramatic demand-supply change events

Business model transformation as an explanation of dramatic ...

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

作者： Tuomisaari, Hannu Nyberg, Timo Karjalainen, Jesse Mäkelin, Matti Ou, Jin Ma, Hongze Xiong, Gang Tynjälä, Teemu Business Innovation and Technology Research Unit School of Science Aalto University Espoo Finland Stora Enso Timber Ltd. Helsinkiy Finland Accenture Helsinki Finland State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Nokia Corporation Helsinki Finland

ISBN: (纸本)9781467324007

This paper discusses Business Model transformation in corporate turnaround events. This is accomplished with a Business Model Framework and by studying a set of cases, where demand-supply constellation has dramatically changed. The cases are from Finland (Nokia) and China (Baidu). A fourth case compares two business models with each other that existed simultaneously, but in different parts of the world. © 2012 IEEE.

关键词： Oceanography

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Planning and Dispatching of Hybrid Renewable Power System Based on Portfolio Theory

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Energy Procedia 2012年 14卷 241-246页

作者： Hu Zhi Yan Zheng Jiang Wen Key Laboratory of Control of Power Transmission and Transformation Ministry of Education Department of Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta 30309 United States

Renewable energies are growing fast and have occupied great percentage in power generation. However, one major drawback of most renewable energies is the variability due to the stochastic nature of wind speed, solar irradiation, and etc. It is important to integrate the risk of wind power's uncertainty into profitability assessments for investors. In this paper, certain effective ideas from portfolio theory in financial engineering field are exploited to deal with renewable energies as risky assets to be invested. It's a systematic way to neutralize risks as well as maximize return values. To adjust these financial tools used to solve renewable energy's problem, some other financial models and concepts are introduced. Time Series models, ARMA (autoregressive moving average), GARCH (generalized autoregressive conditional heteroscedasticity) and PSO (particle swarm optimization) algorithm are utilized to modify data to be real-time effective. Utility function is introduced to evaluate different energy resources. This paper is abundant with interdisciplinary ideas using advanced risk management methods on renewable energy issues. The proposed approach is also applied in real world problem to provide consulting evidence for power system planning and dispatching in Gansu province, northwest of China.

关键词： Portfolio Theory Renewable Energy Risk Management Utility Function ARMA-GARCH PSO

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Learning control of dynamical systems based on Markov decision processes: Research frontiers and outlooks

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Zidonghua Xuebao/Acta Automatica Sinica 2012年第5期38卷 673-687页

作者： Xu, Xin Shen, Dong Gao, Yan-Qing Wang, Kai Institute of Automation College of Mechatronic Engineering and Automation National University of Defense Technology Changsha 410073 China Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Management and Control for Complex Systems Beijing 100190 China Department of Systems and Industrial Engineering University of Arizona Tucson AZ85721-0020 United States Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha 410073 China

Learning control of dynamical systems based on Markov decision processes (MDPs) is an interdisciplinary research area of machine learning, control theory, and operations research. The main objective in this research area is to realize data-driven multi-stage optimal control for complex or uncertain dynamical systems. This paper presents a comprehensive survey on the theory, algorithms, and applications of MDP-based learning control of dynamical systems. Emphases are put on recent advances in the theory and methods of reinforcement learning (RL) and adaptive/approximate dynamic programming (ADP), including temporal-difference learning theory, value function approximation for continuous state and action spaces, direct policy search, approximate policy iteration, and adaptive critic designs. Applications and the trends for future research and developments in related fields are also discussed. Copyright © 2012 Acta Automatica Sinica. All rights reserved.

关键词： Markov processes

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Research on intelligent scientific research collaboration platform and taking journal intelligence system as example

Research on intelligent scientific research collaboration pl...

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

作者： Lu, Hao Zheng, Xiaolong Sun, Xingkai Zhang, Nan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China Beijing Engineering Research Center of IntelligentSystems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Chinese Association of Automation Beijing China

ISBN: (纸本)9781467324007

Currently, the research issues are becoming increasingly global and complex. In order to master more and more professional and comprehensive ability to solve problems, it is proposed in this paper that academic intelligence, journal intelligence, conference intelligence, paper intelligence and so on are integrated together to establish intelligent scientific research collaboration platform. And taking the system application of Science and technology Review as example, the process of scientific research collaboration is carried out to verify the effectiveness of the system. In conclusion, the scientific research collaboration platform could satisfy the comprehensive needs for effectively acquiring a mass of information and launching scientific research collaboration as well as facilitating academic communication. © 2012 IEEE.

关键词： scientific research Intelligence Platform journals

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An overview of agent-based evacuation models for building fires

An overview of agent-based evacuation models for building fi...

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IEEE International Conference on Networking, Sensing and control

作者： Yuling Hu Xiwei Liu Feiyue Wang Changjian Cheng Beijing Key Laboratory of Automatic Control System School of Automation Beijing Institute of Technology. and School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

Agent-based evacuation modeling approach is gained more and more attention for investigating human cognitive capabilities and social behaviors in building fires. This paper mainly overviews the research about various agent-based evacuation models. For the decision-making reflects the intelligence of agent individual, we define three types of behavior decision-making models for agent individual based on the collected literatures and sum up the characteristics of each type. Aiming at crowd' important influence on evacuation processes, we also sum up two types of agent-based crowd modeling approaches to simulate crowd evacuation processes and give corresponding cases. Finally, after summing up the existing problems, the outlooks of the research from computational experiments point of view is proposed.

关键词： Computational modeling Fires Biological system modeling Buildings Decision making Humans Adaptation models

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Robust H-infinity control for uncertain discrete-time Markovian jump systems with actuator saturation

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控制理论与应用（英文版） 2011年第4期9卷 465-471页

作者： Ting SHI Hongye SU Jian CHU Institute of Automation Hangzhou Dianzi University Hangzhou Zhejiang 310018 China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou Zhejiang 310027 China

The design of robust H-infinity controller for uncertain discrete-time Markovianjump systems with actuator saturation is addressed in this paper. The parameter uncertainties are assumed to be norm-bounded. Linear matrix inequality （LMI） conditions are proposed to design a set of controllers in order to satisfy the closed-loop local stability and closed-loop H-infinity performance. Using an LMI approach, a set of state feedback gains is constructed such that the set of admissible initial conditions is enlarged and formulated through solving an optimization problem. A numerical example is given to illustrate the effectiveness of the proposed methods.

关键词： Markovian jump systems H-infinity control Actuator saturation LMIs

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Human Behavior Imitation for a Robot to Play Table Tennis

Human Behavior Imitation for a Robot to Play Table Tennis

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The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Qizhi Wang Xianqiang Zhang De Xu School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 PR Chin State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese

The main purpose of this paper is to make table tennis robots complete the hit table tennis ball action by imitating human’s behavior. The main strategy is to record a video of action which people played the table tennis, then analysis the video of the racket trajectory. The racket in the image is extracted by image processing when the each frame is captured in the video. Then three-dimensional coordinates of the center of the racket and racket posture are obtained via PnP positioning approach based on the intrinsic parameters of the camera. The table tennis robot will off-line learn to complete the imitation of basic actions of the racket trajectory and postures. A large number of experimental data is used to establish basic actions of table tennis robot.

关键词： Imitation off-line learning the trajectory of the racket table tennis robot PnP positioning method

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Model management for refinery multi-level simulation and optimization

Model management for refinery multi-level simulation and opt...

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

ISBN: (纸本)9783902661937

A comprehensive simulation and optimization platform which offers a lot of functions such as decision analysis, production scheduling optimization and process dynamic simulation is urgently required for today's process industry. But this will generate a series of model management problems because models integrated in the platform belong to different classifications and interact with each other in some special applications. In this paper, a model management platform for refinery multi-level simulation and optimization is introduced. The platform, referring to a classical model management framework in decision supporting area, integrates different refinery models for different users and can coordinate computational tasks between models for multi-level application. © 2011 IFAC.

关键词： Hierarchical systems

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Virtual factory integrated manufacturing system for process simulation and monitoring

Virtual factory integrated manufacturing system for process ...

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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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