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2011 International Conference on Mechanical engineering, Materials and Energy, ICMEME 2011

作者： Li, Wen-Chao Yan, Hong-Sen Key Laboratory of Measurement and Control of Complex Systems Engineering Southeast University Ministry of Education Nanjing 210096 China Department of Transportation Jiangsu University Zhenjiang 212013 China

ISBN: (纸本)9783037853405

The job-shop-like knowledgeable manufacturing cell schedu.ing is a NP-complete problem and there has not been a completely valid algorithm for it until now. An algorithm with self -learning ability is proposed through the addition of precedence constraint of operations on the basis of directed graph. A method based on support vector machine is constructed to choose accurately interchangeable operations by small samples earning to obtain the better schedu.ing. The classification accuracy can be improved by the continuous addition of new instances to the sample library. The results of simulation show that the algorithm performs well for the job-shop-like knowledgeable manufacturing cell. © (2012) Trans Tech Publications, Switzerland.

关键词： Computational complexity

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Automatic construction and optimization of knowledge mesh for self-reconfiguration of knowledgeable manufacturing system

Automatic construction and optimization of knowledge mesh fo...

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作者： Yan, Hong-Sen Xue, Chao-Gai Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Ministry of Education 210096 Nanjing Jiangsu China Department of Management Engineering Zhengzhou University 450001 Zhengzhou Henan China

This paper deals with an approach to the automatic construction and optimization of the knowledge mesh (KM) based on the user's function requirements. Once a KM multiple set operation expression is obtained, a new KM can be inferred from the expression by the developed KM-based inference engine and transformed into its corresponding KMS (knowledgeable manufacturing system) software automatically by the developed automatic program construction software so as to realize the self-reconfiguration of the KMS. Thus, the automatic construction and optimization of a KM multiple set operation expression is equivalent to the automatic construction and optimization of its corresponding KM and KMS software. To explore the automatic construction and optimization of the new KM by the user's function requirements, an automatic construction procedu.e of a KM aiming at the user's maximum function-satisfaction is proposed. Firstly, the fuzzy function-satisfaction degree relationships of the users' requirements for the KM functions are defined, and so are the multiple fuzzy function-satisfaction degrees of the relationships. Secondly, operations (union, intersection and minus) on both fuzzy and multiple fuzzy function-satisfaction degrees are proposed and clarified, along with the proof that there exists a one-to-one mapping between the KM multiple set operation expression and the KM-function-satisfaction degree expression. Then, the optimization model of the KM multiple set operation expression is constructed and proved to be very NP-hard. And finally, the KM multiple set operation expression is optimized by the hybrid genetic-tabu algorithm, with the steps of the KM's automatic construction presented in detail as well. Based upon the above, the KM's automatic construction and optimization are illustrated by an actual KM example which corresponds to the management information system (MIS) software used in a vehicle body plant. The proposed approach proves to be very effective. © 2011

关键词： Optimization

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New approaches to relaxed stabilization conditions and H-infinity control designs for T-S fuzzy systems

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控制理论与应用（英文版） 2012年第1期10卷 82-91页

作者： Juntao PAN Shumin FEI Yudong NI Mingxiang XUE Key Laboratory of Measurement and Control of Complex Systems of Engineering （Ministry of Education） Southeast University Nanjing Jiangsu 210096 China LAMIH UMR CNRS8503 University of Valenciennes et Hainaut-Cambr6sis Le Mont Houy 59313 Valenciennes Cedex 9 France School of Science Hefei University of Technology Hefei Anhui 230009 China

This paper focuses on the problem of fuzzy control for a class of continuous-time T-S fuzzy systems. New methods of stabilization design and H-infinity control are derived based on a relaxed approach in which both fuzzy Lyapunov functions and staircase membership functions are used. Through the staircase membership functions approx- imating the continuous membership functions of the given fuzzy model, the membership functions can be brought into the design conditions of fuzzy systems, thereby significantly redu.ing the conservativeness in the recent fuzzy controller design methods. Unlike some previous fuzzy Lyapunov function approaches reported in the literatures, the proposed design techniques of stabilization and H-infinity control do not depend on the time-derivative of the membership functions that may be pointed out as the main source of conservatism when considering fuzzy Lyapunov functions analysis. Moreover, conditions for the solvability of the controller design given here are written in the form of linear matrix inequalities, but not bilinear matrix inequalities, which are easier to be solved by convex optimization techniques. Simulation examples are given to demonstrate the validity and applicability of the proposed approaches.

关键词： T-S fuzzy systems Fuzzy Lyapunov functions Staircase membership functions Linear matrix inequalities

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Energy Efficient Data Collection in Hierarchical Wireless Sensor Networks

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China Communications 2012年第9期9卷 79-88页

作者： Zhang Chun Fei Shumin Zhou Xingpeng School of Automation Southeast UniversityNanjing 210096P.R.China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing 210096P.R.China

The majority of the energy consumption by the sensors is the energy requirement for data transmission in Wireless Sensor Networks （WSNs）. Therefore, introducing mobile collectors to collect data instead of nmlti-hop data relay is essential. However, for rmny proposed data gathering ap-proaches, long data deNNy is the train problenm. Hence, the problem of how to decrease the energy consumption and the data deNNy needs to be solved. In this paper, a low deNNy data collection mechanism using multiple mobile collectors is pro- posed. First, a self-organization clustering algorithm is designed. Second, sensor nodes are organized into three-level clusters. Then a collection strategy based on the hierarchical structure is proposed, which includes two rules to dispatch mobile collec- tors rationally. Simulation results show that the proposed mechanism is superior to other existing approaches in terms of the redu.tion in energy ex-penditure and the decrease in data deNNy.

关键词： WSNs energy consumption rrmltiplemobile collectors data delay

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Bottleneck Prediction Method Based on Improved Adaptive Network-based Fuzzy Inference System (ANFIS) in Semiconductor Manufacturing System

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Chinese Journal of Chemical engineering 2012年第6期20卷 1081-1088页

作者：曹政才邓积杰刘民王永吉 College of Information Science and Technology Beijing University of Chemical Technology Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University Tsinghua National Laboratory for Information Science and Technology State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of SciencesBeijing 100190China

Semiconductor manufacturing (SM) system is one of the most complicated hybrid processes involved continuously variable dynamical systems and discrete event dynamical systems. The optimization and schedu.ing of semiconductor fabrication has long been a hot research direction in automation. Bottleneck is the key factor to a SM system, which seriously influences the throughput rate, cycle time, time-delivery rate, etc. Efficient prediction for the bottleneck of a SM system provides the best support for the consequent schedu.ing. Because categorical data (product types, releasing strategies) and numerical data (work in process, processing time, utilization rate, buffer length, etc.) have significant effect on bottleneck, an improved adaptive network-based fuzzy inference system (ANFIS) was adopted in this study to predict bottleneck since conventional neural network-based methods accommodate only numerical inputs. In this improved ANFIS, the contribution of categorical inputs to firing strength is reflected through a transformation matrix. In order to tackle high-dimensional inputs, redu.e the number of fuzzy rules and obtain high prediction accuracy, a fuzzy c-means method combining binary tree linear division method was applied to identify the initial structure of fuzzy inference system. According to the experimental results, the main-bottleneck and sub-bottleneck of SM system can be predicted accurately with the proposed method.

关键词： semiconductor manufacturing system bottleneck prediction adaptive network-based fuzzy inference system

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A literature review of deadlock prevention policy based on petri nets for automated manufacturing systems

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第21期6卷 426-433页

作者： Guan, Xuanxuan Li, Yue Xu, Jianxia Wang, Chengying Wang, Shouguang School of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou 310018 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China

Deadlock is an undesired situation in a highly automated system due to the fact that no system can allow its occurrence which may produce some unnecessary economic losses or serious consequences. There are three mathematical tools to handle deadlocks in resource allocation systems: graph theory, finite state machine, and Petri net. Due to its inherent characteristics, Petri nets are widely applied to manufacturing systems. Generally, these existing deadlock methods are classified into three strategies: deadlock detection and recovery, deadlock avoidance, and deadlock prevention. In this paper, a review of deadlock prevention policies and merits and drawbacks of these policies are presented. Then it gives the possible trend of the research in the future.

关键词： Petri nets

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A novel HHT and nonlinear teager energy operator based feature for speech emotion recognition

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International Review on Computers and Software 2012年第6期7卷 3360-3364页

作者： Zhang, Guobao Li, Yue Huang, Yongming School of Automation Southeast University Nanjing Jiangsu 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China School of Automation Southeast University Nanjing Jiangsu 210096 China

In traditional speech emotion recognition researches, speech is modeled as linear and short-term stationary signal, with Fourier analysis used as the foundation of speech signal processing and feature extraction. To overcome this shortage, in this paper the Hilbert-Huang transform, which works well for non-stationary and nonlinear data, is used for speech signal processing, and combined with the nonlinear Teager energy operator to put forward a novel spectral feature: Hilbert-Teager Subband Energy Cepstral Coefficients, HT-SECC. With Gaussian mixture model used for classification, the experimental results on Berlin emotional speech corpus show that the HT-SECC feature outperforms traditional Mel-Frequency Cepstral Coefficients and prosodic features. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.

关键词： Hilbert-Huang transform

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Robust stability analysis for uncertain neutral control systems with time-varying delays

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Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of Science and Technology (Natural Science Edition) 2012年第1期13卷 12-16页

作者： Zhang, Hai-Tao Wang, Ting Fei, Shu-Min Li, Tao Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China Engineering Institute of Corps of Engineers PLA Univ. of Sci. and Tech. Nanjing 210007 China School of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

To better handle the problem on robust stability for neutral control systems, in which time-varying delay was involved, a stability criterion with less conservatism was put forward. Firstly, a novel Lyapunov-Krasovskii functional was constructed based on the uncertain neutral control system model. The generalized convex combination and integral inequality techniques were altogether employed, which can help to estimate the derivative of Lyapunov-Krasovskii functional and effectively extend the application area of the results. Secondly, by taking the lower and upper bounds of time-delays and their derivatives, a criterion on asymptotical and robust stability were presented in terms of linear matrix inequality (LMI), which can be easily checked by resorting to LMI in Matlab Toolbox. Finally, through one numerical example the criterion was compared with relative ones. The smaller delay upper bound was obtained by the criteria, which demonstrates that our stability criterion can redu.e the conservatism more efficiently than those earlier ones.

关键词： Linear matrix inequalities

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Improved Rao-Blackwellized particle filter for simultaneous robot localization and person-tracking with single mobile sensor

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控制理论与应用（英文版） 2011年第4期9卷 472-478页

作者： Kun QIAN Xudong MA Xianzhong DAI Fang FANG Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing Jiangsu 210096 China

A probabilistic algorithm is proposed for the problem of simultaneous robot localization and peopletracking （SLAP） using single onboard sensor in situations with sensor noise and global uncertainties over the observer＇s pose. By the decomposition of the joint distribution according to the Rao-Blackwell theorem, posteriors of the robot pose are sequentially estimated over time by a smoothed laser perception model and an improved resampling scheme with evolution strategies; the conditional distribution of the person＇s position is estimated using unscented Kalman filter （UKF） to deal with the nonlinear dynamic of human motion. Experiments conducted in a real indoor service robot scenario validate the favorable performance of the positional accuracy as well as the improved computational efficiency.

关键词： Mobile robot localization People tracking Rao-Blackwellized particle filter Unscented Kalman filter Service robot

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Mean-square exponential stability for stochastic time-varying delay systems with Markovian jumping parameters:a delay decomposition approach

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Journal of systems engineering and Electronics 2011年第5期22卷 816-824页

作者： Li Ma Feipeng Da Key Laboratory of Measurement and Control for Complex Systems of Engineering Ministry of Education Research Institute of Automation Southeast University Nanjing 210096 E R. China College of Electronic and Information Engineering Jiangsu University Zhenjiang 212013 P. R. China

The mean-square exponential stability problem is investigated for a class of stochastic time-varying delay systems with Markovian jumping parameters. By decomposing the delay interval into multiple equidistant subintervals, a new delay-dependent and decay-rate-dependent criterion is presented based on constructing a novel Lyapunov functional and employing stochastic analysis technique. Besides, the decay rate has no conventional constraint and can be selected according to different practical conditions. Finally, two numerical examples are provided to show that the obtained result has less conservatism than some existing ones in the literature.

关键词： stochastic systems time-varying delay Markov chain linear matrix inequality （LMI）.

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