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2013 7th ICME International Conference on Complex Medical Engineering, CME 2013

作者： Li, Yifeng Zhang, Tao Deng, Lue Wang, Bei Nakamura, Masatoshi Department of Automation Tsinghua University Beijing 100084 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Shanghai 200237 China Air Force Institute of Aeromedicine Beijing 100142 China Research Institute of Systems Control Saga University Saga 840-0047 Japan

ISBN: (纸本)9781467329699

Filtering and feature extraction are very important in the analysis and study of EEG signal under +Gz acceleration. In this study, a new filter of different frequency characteristics of EEG signal under +Gz acceleration is constructed and four kinds of rhythms of EEG signal are extracted by using wavelet packet transformation. EEG under different G loads is analyzed and compared, and then EEG dynamic characteristics are studied in order to analyze its advantages and disadvantages. Experimental results show that wavelet packet method can effectively suppress interference bands in EEG, such as EMG, power and so on, and effectively reflect the dynamic characteristics of different rhythms, exhibiting good characteristics. The proposed method is also applicable for analyzing and studying other dynamic biomedical signals. © 2013 IEEE.

关键词： Extraction

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Optimal operation for 3 control parameters of Texaco coal-water slurry gasifier with MO-3LM-CDE algorithms

Communications in Computer and Information Science

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Communications in Computer and Information Science 2013年 355卷 382-391页

作者： Cao, Cuiwen Zhang, Yakun Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology 200237 Shanghai China

Optimizing operation parameters for Texaco coal-water slurry gasifier with the consideration of multiple objectives is a complicated nonlinear constrained problem concerning 3 BP neural networks. In this paper, multiobjective 3-layer mixed cultural differential evolution (MO-3LM-CDE) algorithms which comprise of 4 multi-objective strategies and a 3LM-CDE algorithm are firstly presented. Then they are tested in 6 benchmark functions. Finally, the MO-3LM-CDE algorithms are applied to optimize 3 control parameters of the Texaco coal-water slurry gasifier in methanol production of a real-world chemical plant. The simulation results show that multi-objective optimal results are better than the respective single-objective optimal operations. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Constrained optimization

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Research on zero-wait scheduling problems in multiproduct processes with due dates

Communications in Computer and Information Science

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Communications in Computer and Information Science 2013年 355卷 322-332页

作者： Xu, Zhenhao Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

Production scheduling is an important aspect of batch process operations to achieve high productivity and operability. In this paper, we considered a zero-wait multiproduct scheduling with due dates under uncertainty, where the total weighted earliness/tardiness penalty is to be minimized. The imprecise processing time is expressed with the triangle fuzzy variable and the model has been established based on fuzzy cut-set theory. A new improved shuffled frog-leaping algorithm (ISFLA) is introduced to search optimal objective for the given problem, which has a new updating rule in memeplexes. In order to enhance the ability to search the global optimum, the strategy of Forced Moving of the worst frog in each sub-memeplex is proposed to increase the diversity. Simulated results demonstrate that ISFLA has outperformed the conventional SFLA, which is effective and robust in solving the zero-wait scheduling with due-date window. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Scheduling

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GTAW Procedure Expert System Based on Neural Network

GTAW Procedure Expert System Based on Neural Network

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2013 3rd International Conference on Mechanical Materials and Manufacturing Engineering(ICMMME 2013)

作者： Xuewu Wang Shangyong Yang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

Intelligent procedure expert system was developed to select appropriate GTAW procedure in this ***,the function design and implementation methods of the welding procedure expert system were *** expert system can present the welding procedure card,multimedia display of welding process,and output function to makes the data sharing more ***,the database design of the welding procedure expert system based on C/S mode was presented where the expert knowledge was *** last,the neural network model was established to realize procedure selection based on the neural network learning ability and the welding case from the *** the BPNN model,the welding parameters can be obtained based on the input welding conditions.

关键词： Welding procedure Expert system Database Multimedia Neural network

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Shrinkage Common Spatial Pattern for Feature Extraction in Brain-Computer Interface

Shrinkage Common Spatial Pattern for Feature Extraction in B...

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2013年中国智能自动化学术会议

作者： Yu Zhang Jing Jin Bei Wang Xingyu Wang Key Laboratory for Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

Common spatial pattern(CSP) has been one of the most popular methods for EEG feature extraction in brain-computer interface(BCI) application. Although the CSP usually provides good discriminant features for classification,it is also known to be sensitive to overfitting and *** study introduces a shrinkage technique to regularize estimation of the covariance matrices in the CSP and hence a novel shrinkage CSP(SCSP) method,which could effectively alleviate the effects of small training sample size and unbalanced data on classification. The proposed SCSP is validated on feature extraction of P300 that has been widely adopted for BCI *** accuracies are evaluated by using linear discriminant analysis(LDA) with experimental EEG data from seven *** results indicate that the proposed SCSP extracts more effective features that yield higher classification accuracy than that by the traditional CSP.

关键词： Brain-computer interface(BCI) Common spatial pattern(CSP) Electroencephalogram(EEG) P300 Shrinkage

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Improved shuffled frog leaping algorithm for permutation flow shop scheduling

Improved shuffled frog leaping algorithm for permutation flo...

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2013 International Conference on Information and Communication Technology for Education (ICTE 2013)

作者： Zhenhao Xu Xiao Xu Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

This paper studies the scheduling problem in a permutation flow shop with the objective of makespan, which is known as one of major problems in the field of scheduling. In order to solving the corresponding model, an improved shuffled frog leaping algorithm(ISFLA) is put forward for this kind of scheduling problem. A new leaping rule based on the characteristic of the problem is devised to improve the performance of the ISFLA. And it can not only produce feasible solutions but also maintain the structure characteristic of the SFLA. Computational experiments on benchmark sets show that the proposed ISFLA is greatly effective to generate good solutions relative to the other two algorithms.

关键词： permutation flow shop SFLA new leaping rule

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Brain control: Human-computer Integration control Based on Brain-computer Interface Approach

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Acta Automatica Sinica 2013年第3期39卷 208-221页

作者： Xing-Yu WANG Jing JIN Yu ZHANG Bei WANG Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education School of Information science and Technology East China University of Science and Technology Shanghai 200237 China

Recently, a new system called brain control system has been developed rapidly. Brain control system is a human-computer integration control system based on brain-computer interface (BCI), which relies on human's ideas and thinking. Brain control system has been successfully applied in wide fields, assisting disabled patients daily life, training patients with stroke or limb injury, monitoring the state of human operator, as well as entertainment and smart house etc. In this paper, the background, basic principle, system structure and developments are firstly introduced briefly. The current research status focusing on the problems of electroencephalograph (EEG) signal pattern, control signal transfer algorithm and system application is summarized and analyzed in detail. The further research direction and problems are discussed. Finally, the future development of brain control is analyzed and prospects are given.

关键词： Brain control brain-computer interface (BCI) human-computer integration control electroencephalogram (EEG)

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Containment control for the cooperative output regulation of linear multi-agent systems

Containment control for the cooperative output regulation of...

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Chinese control Conference (CCC)

作者： Yanchao Shen Huaicheng Yan Hao Zhang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education Shanghai China Tongji University Shanghai Shanghai CN

In this paper, the containment control problem is studied for the cooperative output regulation of linear multi-agent systems(MASs). The output regulation problem initiated from single-leader-follower region is extended to the multi-leadersfollower region. The purpose of this paper is to design a containment control algorithm such that all the followers can move into the convex hull formed by the leaders. A sufficient and necessary condition in term of a linear matrix inequality (LMI) is derived for the existence of a containment controller protocol that guarantees the followers are capable to follow the trail of leader and the output error will converge to zero with the time elapsing. Then, a controller design procedure is given to construct the feedback gain matrix and select the proper gain matrix for achieving final consensus of the MASs. Compared with the existing algorithms, the proposed one requires less information and calculation of the velocities measurement of the agents. Finally, a numerical example is illustrated to show the usefulness of the designed containment controller.

关键词： Eigenvalues and eigenfunctions Educational institutions Lead Topology Laplace equations Multi-agent systems Algorithm design and analysis

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A new brain-computer interface paradigm based on P300 and SSVEP

A new brain-computer interface paradigm based on P300 and SS...

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Chinese control Conference (CCC)

作者： Minjue Wang Jing Jin Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai 200237 China

Brain-Computer Interface (BCI) is a novel communication system without depending on conventional brain output paths (such as peripheral nerve and muscle tissue) of the brain. The evaluation of effective EEG patterns is one of the crucial issues in the current research of BCI. Most of the traditional visual evoked paradigms only evoke one kind of EEG pattern for the subsequent feature classification. This study presents a new paradigm based on P300 and Steady-State Visual Evoked Potential (SSVEP) that involves event-related stimulation and frequency flashing stimulation. P300 and SSVEP patterns are evoked simultaneously to enhance the discriminability of features. Offline comparison is implemented among the proposed paradigm and the traditional P300 and SSVEP paradigms. The results show that the new paradigm evokes more significant P300 features while weaken SSVEP features a little without destroying the online feasibility of the BCI system. Therefore, the proposed paradigm can satisfy requirements from different subjects to enlarge the user of group.

关键词： Electroencephalography Brain-computer interfaces Educational institutions Visualization Electronic mail Steady-state Correlation

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Neural network modeling for parabolic distributed parameter system based on improved GSO algorithm

Neural network modeling for parabolic distributed parameter ...

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Chinese control Conference (CCC)

作者： Mengling Wang Xingdi Yan Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology 130 Meilong Road Shanghai 200237 China

This paper proposes an artificial neural network (ANN) based time/space separation modeling approach to predict nonlinear parabolic DPSs. First, the spatial-temporal output is divided into a few dominant spatial basis functions and low-dimensional time series by PCA method. Then a three-layer feed-forward ANN is identified by low-dimensional time series, where the improved group search optimization (GSO) is proposed to optimize the connection weights and thresholds to solve the problem of falling into the local optima. Finally, the nonlinear spatiotemporal dynamics is determined after the time/space reconstruction. Simulations are presented to demonstrate the accuracies and effectiveness of the proposed methodologies.

关键词： Artificial neural networks Distributed parameter systems optimization Computational modeling Electronic mail Aerospace electronics

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