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arXiv 2017年

作者： Du, Wei Tang, Yang Leung, Sunney Yung Sun Tong, Le Vasilakos, Athanasios V. Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Institute of Textile and Clothing Hong Kong Polytechnic University Hong Kong Hong Kong Department of Computer Science Electrical and Space Engineering Lulea University of Technology Lulea97187 Sweden

—In the fashion industry, order scheduling focuses on the assignment of production orders to appropriate production lines. In reality, before a new order can be put into production, a series of activities known as pre-production events need to be completed. In addition, in real production process, owing to various uncertainties, the daily production quantity of each order is not always as expected. In this research, by considering the pre-production events and the uncertainties in the daily production quantity, robust order scheduling problems in the fashion industry are investigated with the aid of a multi-objective evolutionary algorithm (MOEA) called nondominated sorting adaptive differential evolution (NSJADE). The experimental results illustrate that it is of paramount importance to consider pre-production events in order scheduling problems in the fashion industry. We also unveil that the existence of the uncertainties in the daily production quantity heavily affects the order scheduling. Copyright © 2017, The Authors. All rights reserved.

关键词： Multiobjective optimization

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Oil extraction from sunflower seed using green solvent 22

Oil extraction from sunflower seed using green solvent

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22nd International Congress of chemical and Process Engineering, CHISA 2016 and 19th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2016

作者： De Jesus, S.S. Santana, A. Maciel Filho, R. Laboratory of Optimization Design and Advanced Control School of Chemical Engineering University of Campinas Campinas SP13083-970 Brazil Laboratory of High Pressure Process Department of Chemical Engineering and Environmental Technology University of Valladolid Valladolid47011 Spain

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L2- L∞ State Estimation for Discrete-time Delayed Neural Networks with Missing Measurements and Randomly Occurring Sensor Linearity

L2- L∞ State Estimation for Discrete-time Delayed Neural Ne...

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第35届中国控制会议

作者： Hao Zhang Huaicheng Yan Hongbo Shi Hao Zhang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education Department of Control Science and Engineering Tongji University

ISBN: (纸本)9781509009107

This paper is concerned with the L-L state estimation problem for discrete-time delay neural networks with missing measurements and randomly occurring sensor *** phenomena of missing measurements and randomly occurring sensor linearity are constructed with two sequences of random variables,which obey the partial Bernoulli distribution.A sufficient condition is firstly given such that the augmented filtering error system is stochastically stable with a guaranteed optimal L-L performance by solving a set of linear matrix inequalities(LMIs).Finally,a simulation example is given to show the effectiveness of the proposed method.

关键词： L2-L∞ state estimation discrete-time delayed neural networks missing measurements randomly occurring sensor linearity

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Attack Frequency Estimation of Networked control Systems under Denial of Service with Energy Constraints

Attack Frequency Estimation of Networked Control Systems und...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Hongtao Sun Chen Peng Wangli He Zhiwen Wang School of Mechatronic Engineering and Automation Shanghai University Shanghai China Shandong Foreign Languages Vocational College School of Information Engineering Rizhao China The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China

This paper addresses the attack frequency estimation for networked control systems suffering from denial of service (DoS) attacks. First, the networked control systems (NCSs) subjecting to DoS attacks are modeled as switched systems between normal systems and attacked systems. Secondly, by considering the worst scenario of DoS attacks with energy constraints, the maximum allowable update interval is well characterized under consideration of the limitation of the event-triggered control scheme and discrete sampling. Then, by use of Lyapunov theory, a stability criterion is derived to obtain the maximum number of DoS attacks while ensuring the globally exponentially stable of studied system. Finally, an example is used to show the validity of proposed results.

关键词： Switched systems Stability criteria Networked control systems Security Switches

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Unravelling the Synergy between Oxygen Vacancies and Oxygen Substitution in BiO2−xfor Efficient Molecular‐Oxygen Activation

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Angewandte Chemie 2019年第9期132卷

作者： Yueshuang Mao Pengfei Wang Lina Li Zongwei Chen Haitao Wang Yi Li Sihui Zhan MOE Key Laboratory of Pollution Processes and Environmental Criteria Tianjin Key Laboratory of Environmental Remediation and Pollution Control College of Environmental Science and Engineering Nankai University Tianjin 300350 P. R. China School of Energy and Environmental Engineering Hebei University of Technology Tianjin 300401 P. R. China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute Shanghai 201800 P. R. China State Key Laboratory of Molecular Reaction Dynamics Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian 116023 P. R. China Department of Chemistry Tianjin University Tianjin 300072 P. R. China

Defects in nanomaterials often lead to properties that are absent in their pristine counterparts. To date, most studies have focused on the effect of single defects, while ignoring the synergy of multiple defects. In this study, a model of photocatalytic O 2 activation was selected to unravel the role of dual defects by decorating bismuth oxide with surface O vacancies and bulk O substitution simultaneously. The introduction of dual defects led to a spatial and electronic synergistic process: i) O substitution induced a local electric field in the bulk of BiO 2− x , which promoted bulk separation of electrons and holes immediately after their generation; ii) O vacancies efficiently lowered the conduction band, served as the capture center for electrons, and thus facilitated the adsorption and activation of O 2 . This effect was greatly promoted by the coexistence of bulk O substitution, and DFT calculations showed that only O substitution near an O vacancy could have this effect.

关键词： Duale Defekte Ladungsnutzung Nanomaterialien Photokatalyse Sauerstoffaktivierung

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EXPLORING(C)OVERT ATTENTION FOR MULTI-OBJECTIVE GAZE-INDEPENDENT BCIS, VISUAL ANGLE NOT EXCEEDING 1 DEGREE

EXPLORING(C)OVERT ATTENTION FOR MULTI-OBJECTIVE GAZE-INDEPEN...

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2016 4th IEEE International Conference on Cloud Computing and Intelligence Systems（IEEE CCIS2016）

作者： Sijie Zhou Long Chen Yu Zhang Jing Jin Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

ISBN: (纸本)9781509012572

Studies had reported that the performance of multi-objective gaze-independent BCIs under covert attention conditions was lower than the matrix speller BCIs under overt attention conditions. However, no research has compared the performance of multi-objective gaze-independent BCIs under covert attention conditions with under overt attention conditions,when visual angle doesn't exceed 1o. For exploration of the above problem, two paradigms developed from Geometric Speller(Geo Spell) have been built. Ten healthy participants had participated in this study. Results show that the performance of the gaze-independent BCI is substantially higher when the participant could gaze directly at targets. However, the multi-objective gaze-independent BCIs under covert attention conditions are competitive in terms of evoking N200(p<0.05).

关键词： Brain computer interface event-related potentials multi-objective gaze-independent

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Enhanced Process Monitoring via Time Space Coordinated-Locality Preserving Projection

Enhanced Process Monitoring via Time Space Coordinated-Local...

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第27届中国过程控制会议（CPCC2016）

作者： Yang Jian Song Bing Tan Shuai Shi Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Process of the Ministry of Education East China University of Science and Technology

In this paper,a novel dimensionality reduction method,time space coordinated-locality preserving projections(TSCLPP) is proposed based on locality preserving projection(LPP).For the short sampling interval,except the data correlation in spatial scale,there exists data correlation in time scale as *** considering the correlation of sampling points in time and spatial scale simultaneously,TSCLPP constructs the adjacency graph by selecting adjacent points in time-sequence and Euclidean distance ***,the importance of the time-sequential neighbors is measured by the weight based on a time distance.A dual objective function with a weight index coordinating the relationship between time and space is constructed to compute the transformation ***'s T2 and squared prediction error(SPE) are established for process monitoring.A numerical case and the Tennessee-Eastman Process(TEP) are employed for the experimental verification.

关键词： Enhanced Process Monitoring via Time Space Coordinated-Locality Preserving Projection

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Joint Probability Density and Weighted Probabilistic PCA Based on Coefficient of Variation for Multimode Process Monitoring

Joint Probability Density and Weighted Probabilistic PCA Bas...

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2016 International Conference on Artificial Intelligence: Techniques and Applications(AITA 2016)

作者： Tian-xian ZHU Jian HUANG Xue-feng YAN Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

For probabilistic monitoring of multimode processes,this paper introduced a monitoring scheme that integrates joint probability density and weighted probabilistic principal component analysis based on coefficient of variation(CV-WPPCA). A joint probability based on 2 statistic was constructed for mode identification. After it concentrated maximum fault-relevant information into dominant subspace by identifying and extracting important noise factors from the residual subspace,the new approach utilized a weighting strategy based on coefficient of variation method to highlight the useful information in the reconstructed dominant subspace. A case study on the Tennessee Eastman process was applied to demonstrate the efficiency of the proposed method.

关键词： Multimode process monitoring Joint probability Weighted probabilistic PCA Coefficient of variation

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Improvement of Echo State Network Generalization by Selective Ensemble Learning Based on BPSO

Improvement of Echo State Network Generalization by Selectiv...

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2016第二届电气工程与工业工程国际会议

作者： Xiaodong Zhang Xuefeng Yan Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

The Echo State Network(ESN) is a novel and special type of recurrent neural network that has become increasingly popular in machine learning domains such as time series forecasting, data clustering, and nonlinear system identification. This network is characterized by large randomly constructed recurrent neural networks(RNN) called "reservoir", in which the neurons are sparsely connected and the weights remain unchanged during training, leaving the simple training of the output layer. However, the reservoir is criticized for its randomness and instability because of the random initialization of the connectivity and weights. In this article, we introduced the selective ensemble learning based on BPSO to improve the generalization performance of ESN. Two widely studied tasks are used to prove the feasibility and priority of the selective ESN ensemble based on BPSO(SESNE-BPSO) model. And the results indicate that the SESNE-BPSO model performs better than the general ESN ensemble, the single standard ESN and several other improved ESN models.

关键词： Echo State Network Reservoir Computing Artificial Neural Network Ensemble Learning Selective Ensemble Particle Swarm optimization

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Local synchronization of multiplex networks with delayed couplings

Local synchronization of multiplex networks with delayed cou...

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第35届中国控制会议

作者： Zhiwei Xu Wangli He The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

ISBN: (纸本)9781509009107

This paper is concerned with local synchronization of multiplex networks which correspond to networked systems coupled by two different *** network topologies associated with different coupling delays are ***,a sufficient delay-dependent condition for local synchronization is derived based on Lyapunov functional *** a decoupled method is applied in the case that two network topology matrices are diagonalizable and ***,a numerical example is given to illustrate the effectiveness of the proposed method.

关键词： Multiplex networks local synchronization multiple coupling delays

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