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2010 International Conference on Intelligent control and Information Processing, ICICIP 2010

作者： Zhou, Xiang Li, Xiaoli Liu, Dexin Yin, Yixin Chen, Xianzhong Hou, Qingwen Department of Automation Information and Engineering School University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education University of Science and Technology Beijing Beijing 10083 China

ISBN: (纸本)9781424470488

Iron making is the first stage and also an important part in steel making process, which will bring the problem of energy efficiency and economic benefits. In this process, the distribution of the blast burden impacts greatly on the production of BF (blast furnace). Therefore, the prediction of furnace burden distribution in furnace throat will play an important role in the control strategy of furnace burden. Based on the data from the multi-radar, the blast burden curve can be formed. Feature extraction and classification based on different curves (i.e. different pattern) can be made by using BP neural networks. The work proposed in this paper will be a guidence for the future research of burden surface based on the data of phased-array radar. © 2010 IEEE.

关键词： Blast furnaces

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Application of fuzzy pattern recognition in burden surface identification

Application of fuzzy pattern recognition in burden surface i...

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2010 International Conference on Intelligent control and Information Processing, ICICIP 2010

作者： Liu, Dexin Li, Xiaoli Zhou, Xiang Yin, Yixin Chen, Xianzhong Hou, Qingwen Department of Automation Information and Engineering School University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education University of Science and Technology Beijing Beijing 10083 China

ISBN: (纸本)9781424470488

A kind of pattern recognition method with Fuzzy clustering is applied to identify the burden surface of blast furnace. According to the information of burden surface distribution, the target clustering analysis is used to set up a standard model database. Based on the character of distribution, each target burden surface is matched into different standard model database by using fuzzy pattern recognition method. Maximal minimal similarity method is adapted in the course of fuzzy pattern recognition. The simulation results show the effectiveness of the proposed method. © 2010 IEEE.

关键词： Blast furnaces

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Dynamics and modal control of piezoelectric tube actuators

Dynamics and modal control of piezoelectric tube actuators

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5th IFAC Symposium on Mechatronic systems, MECHATRONICS 2010

作者： Van Hulzen, Jan R. Schitter, Georg Van Den Hof, Paul M.J. Van Eijk, Jan Delft Center for Systems and Control Delft University of Technology Mekelweg 2 2628 CD Delft Netherlands Automation and Control Institute Vienna University of Technology Gusshausstrasse 27-29 1040 Vienna Austria Department of Precision and Microsystems Engineering Delft University of Technology Mekelweg 2 2628 CD Delft Netherlands

ISBN: (纸本)9783902661760

In piezoelectric positioning systems the achievable bandwidth is often limited by weakly damped resonant modes. System performance may be improved by avoiding the excitation of these modes. If sufficient mechanical damping is present this can be done by shifting resonant modes towards anti-resonant modes through manipulation of the mechanical boundary conditions. In a second approach the anti-resonances may be shifted towards the resonances by the application of modal actuation. Using this method the excitation of the second and higher order modes is avoided by changing the distribution of actuation forces. This paper investigates and compares the application of modal control techniques in systems based on piezoelectric tube actuators such as atomic force microscopes using finite element analysis and experimental verification. © 2010 IFAC.

关键词： Finite element method

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A Pattern-Based Coordination and Test Framework for Multi-Agent Simulation of Production automation systems

A Pattern-Based Coordination and Test Framework for Multi-Ag...

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International Conference on Complex, Intelligent and Software Intensive systems, CISIS

作者： Thomas Moser Munir Merdan Stefan Biffl Christian Doppler Laboratory of Software Engineering Integration of Flexible Automation Systems Austria Automation Control Institute University of Technology Vienna Austria

ISBN: (纸本)9781424459179;9780769539676

Production automation systems consist of many entities (like robots and shuttles) that interact in complex ways to provide the overall system functionality like product assembly. Multi-Agent systems (MAS) can simulate these system entities and their interactions to better understand the system behavior according to production strategies and system configuration, which are otherwise hard to determine before their (costly) implementation. A main challenge is to coordinate the groups of agents effectively to reach a common production goal, e. g., fast and robust delivery on customer orders for assembling a set of products. In this paper, we introduce the pattern-based extension of the MAS-based manufacturing agent simulation tool (MAST) to support the simulation and evaluation of business processes in an assembly workshop: a layered coordination and test framework has been implemented and evaluated in cooperation with industry partners. Domain experts found the coordination patterns usable and useful to elicit their knowledge. The test framework allowed exploring the effects of production strategies on the system 30 times faster than with a real-world hardware workshop.

关键词： Automatic testing System testing Production systems Robotics and automation Robotic assembly Robot kinematics Assembly systems Multiagent systems Robustness Manufacturing processes

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Identification and MPC control of a Circulation Fluidized Bed Boiler Using an LPV Model

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IFAC Proceedings Volumes 2010年第5期43卷 853-858页

作者： Jiangyin Huang Guoli Ji Yucai Zhu Wei Lin Department of Automation Xiamen University Xiamen 361005 China (Tel: ***) Control Systems Faculty of Electrical Engineering Eindhoven University of Technology The Netherlands

This work studies the identification and control of circulation fluidized bed (CFB) boilers. The CFB boiler under investigation shows strong nonlinearity due to big changes of steam load. A linear parameter varying (LPV) model is used to represent the process dynamics and used in control. The steam flow is used as the working-point variable (scheduling variable) of LPV model. Multivariable plant tests were carried out and a LPV model and a linear model were identified. The identification results of the industrial CFB boiler show that the LPV model has much higher accuracy than the linear model. The simulation studies for the MPC control of the CFB boiler have been performed using both the LPV model and the linear model. The simulation results show that the MPC using the LPV model performs better than the MPC using the linear model.

关键词： circulation fluidized bed (CFB) boilers identification LPV model MPC control

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Collaborative filtering: Weighted nonnegative matrix factorization incorporating user and item graphs

Collaborative filtering: Weighted nonnegative matrix factori...

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10th SIAM International Conference on Data Mining, SDM 2010

作者： Gu, Quanquan Zhou, Jie Ding, Chris State Key Laboratory on Intelligent Technology and Systems Department of Automation Tsinghua University Beijing 100084 China Department of Computer Science and Engineering University of Texas at Arlington 416 Yates Street Arlington TX 76019 United States

Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative filtering based on graph regularized weighted nonnegative matrix factorization. In our model, two graphs are constructed on users and items, which exploit the internal information (e.g. neighborhood information in the user-item rating matrix) and external information (e.g. content information such as user's occupation and item's genre, or other kind of knowledge such as social trust network). The proposed method not only inherits the advantages of model-based method, but also owns the merits of memory-based method which considers the neighborhood information. Moreover, it has the ability to make use of content information and any additional information regarding user-user such as social trust network. Due to the use of these internal and external information, the proposed method is able to find more interpretable low-dimensional representations for users and items, which is helpful for improving the recommendation accuracy. Experimental results on benchmark collaborative filtering data sets demonstrate that the proposed methods outperform the state of the art collaborative filtering methods a lot. Copyright © by SIAM.

关键词： Collaborative filtering

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A Model-free Periodic Adaptive control for Freeway Traffic Density via Ramp Metering

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自动化学报 2010年第7期36卷 1029-1032页

作者： CHI Rong-Hu HOU Zhong-Sheng School of Automation and Electrical Engineering Qingdao University of Science and Technology Qingdao 266042 P.R.China Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 P.R.China

In this paper, a novel model-free periodic adaptive ramp metering scheme is presented for a freeway traffic system, which can be formulated as a general MIMO nonlinear system. The proposed method is model-free in nature, and the control inputs and the pseudo Jacobi parameters are updated periodically in a pointwise manner over the entire period, by directly using the I/O data obtained in the preceding periods. The geometrical tracking performance is shown with rigorous analysis. The simulation results illustrate the validity of the proposed method.

关键词：交通系统自适应匝道自动化系统交通管理

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Hybrid powertrain concept evaluation using optimization

Hybrid powertrain concept evaluation using optimization

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25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition: Sustainable Mobility Revolution, EVS 2010

作者： Murgovski, Nikolce Fredriksson, Jonas Sjöberg, Jonas Norén, Bengt Department of Signals and Systems Division of Automatic Control Automation and Mechatronics Chalmers University of Technology Gothenburge Sweden Complete Powertrain Powertrain Engineering Volvo Cars Corporation. Dept 97520-PV3B-Gothenburge Sweden

This paper describes automatic evaluation of series-parallel (combined) powertrain models using optimization. The novelty with the approach is the possibility to work with non-transparent industrial vehicle models, hidden for intellectual property reasons. The contribution extends the functionality of a recently developed tool for parallel hybrids, with the ability to operate on combined powertrains. Given the user inputs, which include dynamic vehicle model and driving cycle, the tool first produces a simplified powertrain model in the form of static maps, before dynamic programming is used to find an optimal torque split that minimizes fuel consumption. The main use of the tool is to evaluate the potential of a powertrain configuration. The paper contains an illustration of the tool operation on a non-transparent industrial vehicle model. The only requirement on the model is to provide access to some general variables and that it has a torque split that can be fully controlled.

关键词： Hybrid vehicles

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Event-triggered control for discrete-time systems

Event-triggered control for discrete-time systems

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作者： Eqtami, Alina Dimarogonas, Dimos V. Kyriakopoulos, Kostas J. Department of Mechanical Engineering Control Systems Lab. National Technical University of Athens 9 Heroon Polytechniou Street Zografou 15780 Greece Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA 02139 United States

ISBN: (纸本)9781424474264

In this paper, event-triggered strategies for control of discrete-time systems are proposed and analyzed. Similarly to the continuous-time case, the plant is assumed input-to-state stable with respect to measurement errors and the control law is updated once a triggering condition involving the norm of a measurement error is violated. The results are also extended to a self-triggered formulation, where the next control updates are decided at the previous ones, thus relaxing the need for continuous monitoring of the measurement error. The overall framework is then used in a novel Model Predictive control approach. The results are illustrated through simulated examples. © 2010 AACC.

关键词： Digital control systems

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New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle

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Science China(Technological Sciences) 2010年第8期53卷 2025-2031页

作者： DUAN HaiBin 1 ,SHAO Shan 2 ,SU BingWei 3 &ZHANG Lei 41 State Key laboratory of Science and technology on Holistic Flight control,School of automation Science and Electrical engineering, Beijing University of Aeronautics and Astronautics,Beijing 100191,China 2 Flight control department,Shenyang Aircraft Design and Research Institute,Shenyang 110035,China 3 Beijing Institute of Near Space Vehicle’s System engineering,Beijing 100076,China 4Integration and Project Section,Air Force Equipment Academy,Beijing 100085,China 1. State Key Laboratory of Science and Technology on Holistic Flight Control School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 China2. Flight Control Department Shenyang Aircraft Design and Research Institute Shenyang 110035 China3. Beijing Institute of Near Space Vehicle’s System Engineering Beijing 100076 China4. Integration and Project Section Air Force Equipment Academy Beijing 100085 China

Bio-inspired intelligence is in the spotlight in the field of international artificial intelligence,and unmanned combat aerial vehicle(UCAV),owing to its potential to perform dangerous,repetitive tasks in remote and hazardous,is very promising for the technological leadership of the nation and essential for improving the security of *** the basis of introduction of bioinspired intelligence and UCAV,a series of new development thoughts on UCAV control are proposed,including artificial brain based high-level autonomous control for UCAV,swarm intelligence based cooperative control for multiple UCAVs,hy-brid swarm intelligence and Bayesian network based situation assessment under complicated combating environments, bio-inspired hardware based high-level autonomous control for UCAV,and meta-heuristic intelligence based heterogeneous cooperative control for multiple UCAVs and unmanned combat ground vehicles(UCGVs).The exact realization of the proposed new development thoughts can enhance the effectiveness of combat,while provide a series of novel breakthroughs for the intelligence,integration and advancement of future UCAV systems.

关键词： bio-inspired intelligence unmanned combat aerial vehicle(UCAV) artificial brain autonomous control bayesian network bio-inspired hardware heterogeneous cooperative control

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