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第25届中国过程控制会议

作者： Sun zewen Gu xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

In recent years,the technology accelerates the fierce competition of *** the information explosion,the research on process scheduling gets more *** paper summarizes the previous studies about unrelated parallel machine scheduling problem,then gives a detailed mathematical description for the unrelated parallel machine scheduling *** with the development of intelligent optimization algorithms,it puts forward an improved estimation of distribution algorithms IEDANS to solve the unrelated parallel machine scheduling *** ideas about VNS also integrated into the *** the advantages and disadvantages of intelligent algorithms,the actual application process presents a new encoding for the *** using the processing time matrix,the algorithm can get more knowledge of the *** simulation results show that the IEDANS algorithm can solve the problem *** can converge to the global optimization without costing much time.

关键词： Estimation of distribution algorithms（EDA） unrelated parallel machine knowledge of processing matrix

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Improved Performance of process Monitoring Based on Selection of the key Principal Components

Improved Performance of Process Monitoring Based on Selectio...

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第25届中国过程控制会议

作者： Bing Song Yuxin Ma Hongbo Shi Key laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Conventional principal component analysis（PCA）-based methods can conduct dimensionality reduction on process variables and can obtain low-dimensional representations that capture most of the variance information in the original data ***,principal components（PCs）with larger variance of normal data cannot guarantee the capture of the largest variations in fault data since the fault information is complicated and *** other words,the last PCs with smaller variance may be as important as those with larger ***,PCs selection based on variance in the PCA is subjective,which can lead to information loss and poor monitoring *** address both dimension reduction and information preservation simultaneously,this paper proposes a novel PCs selection scheme named full variable expression（FVE）.On the basis of the proposed relevance of variables with each principal component,the key principal components can be *** relevance indicates the expression degree of the original variables on each principal *** the key principal components serve as a low-dimensional representation of the entire original variables,thereby preserving the information of the original data space without undergoing information loss.A squared Mahalanobis distance,which is introduced as the monitoring statistic,is calculated directly in the key principal components space for fault *** order to test the modeling and monitoring performance of the proposed method,a numerical example and the Tennessee Eastman（TE）benchmark case studies are provided.

关键词： Principal Component Analysis Information Loss Fault Detection key Principal Components

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RS-LSSVM: A new ensemble method for sentiment classification based on random subspace

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ICIC Express Letters, Part B: Applications 2014年第6期5卷 1773-1778页

作者： Wang, Gang Yang, Shanlin Ma, Jian School of Management Hefei University of Technology No. 193 Tunxi Road Hefei China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei University of Technology No. 193 Tunxi Road Hefei China Department of Information Systems City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong

As analyzing and predicting the polarity of the sentiment plays an important role in understanding social phenomena and general society trends, sentiment classification problem has become a popular topic in academia and industry in recent years. However, comparing with Bagging and Boosting, another popular ensemble method, i.e., Random Subspace, is paid much less attention to the sentiment classification problem. In this research, we propose a new ensemble method, RS-LSSVM, for sentiment classification based on Random Subspace and LSSVM. Ten public sentiment classification datasets are used to verify the effectiveness of the proposed RS-LSSVM. Experimental results reveal that RS-LSSVM can get the better results than the four base learners, Bagging, and Boosting. All these results indicate that RS-LSSVM can be used as an alternative method for sentiment classification.

关键词： Support vector machines

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Abnormal Visible Luminescence Mechanism of Tb3+-Yb3+ Codoped SiO2-Al2O3-CaF2 Glass Studied by Time-Resolved Spectra

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中国物理快报（英文版） 2014年第8期31卷 151-154页

作者： DUAN Qian-Qian ZHAO Hua ZHANG Zhi-Guo JIAN Ao-Qun SANG Sheng-Bo ZHANG Wen-Dong Micro and Nano-system Research Center College of Information Engineering Taiyuan University of TechnologyTaiyuan 030024 Key Laboratory of Advanced Transducers and Intelligent Control(Shanxi Province and Ministry of Education) Taiyuan University of Technology Taiyuan 030024 School of Materials Science and Engineering Harbin Institute of Technology Harbin 150001 Condensed Matter Science and Technology Institute Harbin Institute of Technology Harbin 150001

The upconversion energy transfer mechanism in Tb3+-Yb3+ co-doped SiO2-Al2O3-CaF2 glass is investigated by time-resolved spectra. The effect of donor ion Yb3+ is involved in the dynamic decay behavior of acceptor ion Tb3+, which provides direct proof for the energy transfer from Yb3+ to Tb3+. The pump power dependence curves show that the upconversion luminescence is a two-photon process. The measured decay curves of the 5D4 state (Tb3+) contain two parts: a slow decay process corresponding to its radiation, and a fast one with a decay parameter approximately twice the lifetime of the 2F5/2 state (Yb3+). The fast decay process is contradictory to the generally accepted cooperative sensitization upconversion rate equation model. Since the effect of the host environmental is excluded by comparative experiments, we believe that there should be another energy transfer mechanism in Tb3+-Yb3+ co-doped SiO2-Al2O3-CaF2 glass in addition to the cooperative sensitization process.

关键词： Silica

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A Fast Global Group Search Optimizer algorithm

A Fast Global Group Search Optimizer algorithm

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International Conference on Information and Automation (ICIA)

作者： Kang Zhang Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai

The Group Search Optimizer(GSO) is a novel optimization algorithm, which is inspired by searching behavior of animals. In this paper, we proposed an improved GSO algorithm named Fast Global Group Search Optimizer(FGGSO) to increase searching speed and balance the exploitation and exploration of the algorithm, which is based on our previous works. At first time, considering the complexity and time-consuming design of the producer's angle searching strategy, a novel local search mechanism, named campaign strategy, is developed, which is inspired by competition and cooperation between candidates in an electoral process. After that, a reconstruction operation is applied in searching process to guarantee the avoidance of the local minimum. The algorithm is evaluated on a set of 11 numerical optimization problems and compared favorably with other version of GSOs. Experimental results indicate the remarkable improvement on the performance of these problems.

关键词： optimization Standards Animals Acceleration Biological system modeling Convergence Search problems

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Blind Signal Separation with Kernel Probability Density Estimation Based on MMI Criterion Optimized by Conjugate Gradient

Blind Signal Separation with Kernel Probability Density Esti...

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第25届中国过程控制会议

作者： Wei Li Huizhong Yang Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) of Jiangnan University

This paper presents a novel blind signal separation(BSS)approach based on the theory of independent component *** the proposed BSS approach,the learning rule is derived by the conjugate gradient optimization algorithm rather than the ordinary gradient and natural gradient algorithm based on the minimum mutual information(MMI)*** score function is a key point in solving the BSS *** of choosing nonlinear activity functions empirically,a kernel probability density function estimation method is used in order to estimate the probability density functions and their derivatives of the separated *** the score function is then estimated *** proposed BSS approach is applied to separate the mixtures of sub-Gaussian and super-Gaussian source signals *** simulations are provided to demonstrate the superior learning performance of the proposed BSS approach.

关键词： Blind signal separation,Minimum mutual information criterion,Probability density estimate,Conjugate gradient optimization algorithm

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An advanced particle swarm optimization with Gaussian distribution operators

An advanced particle swarm optimization with Gaussian distri...

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2013 International Conference on Future Computer and Information technology(ICFCIT 2013)

作者： Maolong Xi Ye Zou Guanghong Zhou Jun Sun School of Control Technology Wuxi Institute of Technology Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan University

Parameter selection is an essential work which influences the performance of a particle swarm optimization algorithm(PSO). In evolutionary equations of a PSO algorithm, two uniform random numbers are employed to perform the global exploration search and local exploitation, and then the particles can only fly in a limited search space. In this paper, a novel strategy is proposed by introducing Gaussian distribution operators into PSO and new evolutionary equations are given, which can expand the activity range of particles and increase the probability of finding global solutions of problems. Simulation results show the proposed method is effective and efficient compared with other variants of PSO.

关键词： PSO,uniform distribution,Gaussian distribution

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Dynamic optimization of chemical engineering problems using affinity propagation based estimation of distribution algorithm

Dynamic optimization of chemical engineering problems using ...

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World Congress on Intelligent control and Automation (WCICA)

作者： Na Luo Wei Feng Xiaoqiang Wang Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

Dynamic optimization has attracted much attention for its wide applications in engineering problems. However, it is still a challenge for high nonlinear, multi-dimensional and multimodal problems. Estimation of Distribution Algorithm was proposed in which probabilistic models extracted relevant features of the complex search space and then generated new individuals during optimization. In order to decrease the dependences among control variables in dynamic optimization, affinity propagation was applied to cluster the individuals in evolutionary iterations. In each cluster, the probabilistic density function of Gaussian mixture model refined the promising spaces with high quality solutions and avoided the random combination of different control variables. To evaluate the performance of the new approach, three dynamic optimization problems of chemical process are used as cases comparing with three state-of-the-art global optimization methods. The results showed that the new approach could achieve the best solution in most cases with less computational effort and higher efficiency.

关键词： Statistics Probabilistic logic optimization Sociology Algorithm design and analysis Robustness Genetic algorithms

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Distributed estimation over analog fading channels using constant-gain estimators 19

Distributed estimation over analog fading channels using con...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Xiao, Nan Xie, Lihua Niu, Yugang Hong, Yiguang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China EXQUISITUS Centre for E-City School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9783902823625

This paper considers the distributed estimation of an unstable target via constant-gain estimators under local communications and channel fading. The communication graph is assumed to be fixed and undirected, and the channel fading is assumed to be identical. Necessary and sufficient conditions on communication network over which the state of the unstable target can be estimated in the mean square sense are given for both continuous-time and discrete-time cases, which reveal the fundamental limitation on distributed estimation induced by local communications, channel fading, and target dynamics. In addition, our results for the case without channel fading and the case with separate communications are consistent with the results in the literature. © IFAC.

关键词： Fading channels

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Harmonic analyses of power grid in large-capacity groups of AC-DC-AC frequency speed drag system

Harmonic analyses of power grid in large-capacity groups of ...

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2013 International Conference on Renewable Energy and Environmental technology, REET 2013

作者： Wang, Ji Zhong Tong, Chao Nan Li, Rui School of automation University of Science and Technology Beijing Beijing 100083 China Offices of Academic Affairs Beihua University Jilin 132013 China Key laboratories of Advanced Control of Iron and steel Process Ministry Education China

ISBN: (纸本)9783037859124

Based on the synchronous machine in AC-DC-AC Frequency speed drag System, a new power supply method of phase-shifting combination is proposed by a detailed study of the impact in the power grid harmonics. With regard to the main Motor drive system of hot-rolling finishing mills, a large number of varying parameters quantitative analysis is made respectively for power load, LC filter, pulse-width modulation circuit and transformer, in which the grid side harmonic rate and waveform distortion rate is focused on. The simulation results show that the power supply method with reasonable parameters' design of the drag system can be drastically reduce the grid side harmonic interference that the total harmonic distortion is suppressed within 4.0%. Results of this study provides an effective method for the design of the factory drag system, reactive power compensation system as well as fault diagnosis of electric drag system. © (2014) Trans Tech Publications, Switzerland.

关键词： Reactive power

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