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International Conference on Computer and Communications (ICCC)

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

Brain-computer interface (BCI) plays an important role in helping the people with severe motor disability. In event-related potential (ERP) based BCIs, subjects were asked to count the target stimulus in the offline experiment, the recorded electroencephalogram (EEG) data was used to train the classification mode. However, subjects may make mistakes in counting the target stimulus or be affected by the non-target stimulus. The target trials may not contain expected ERPs and the non-target trials may contain unexpected ERPs, which was called error samples. This paper intends to survey whether the classification accuracy could be improved after removing these error samples from offline training data. The result showed that the online performance of BCI system could be improved after selecting the offline samples for training the classification mode.

关键词： Electroencephalography Feature extraction Training Classification algorithms Electrodes Band-pass filters Brain modeling

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On-demand state estimation with sampling time skew in power systems

On-demand state estimation with sampling time skew in power ...

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Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： Xinjun Ma Chensheng Liu Jing Wu Chengnian Long Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781479958306

With new dynamics and uncertainties in today's power grids, traditional fixed-interval State Estimation (SE) may be unable to track the variability and monitor the power grid effectively. This paper presents a new architecture to transfer data and execute SE on demand. A list of situations are summarized to direct the SE-demand generator in system control center. As SCADA and PMU measurements are co-exist in realistic power systems, time skew problem is inevitable. To mitigate the influence of time skew, a state estimator based on time skew oriented weight adaptation is considered. In each SE circle, the weights assigned to the measurements not only correspond to their noise, but also the time offsets relative to the SE-demand point. Numerical examples demonstrate the improved accuracy of our estimator compared with the conventional hybrid SE when measurements time skew is present.

关键词： Phasor measurement units Time measurement Measurement uncertainty Current measurement Computer architecture State estimation Uncertainty

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Event-triggered model predictive control for wireless networked control systems with packet losses

Event-triggered model predictive control for wireless networ...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Quan Wang Yuanyuan Zou Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781479987313

This study investigates an event-triggered model predictive control for wireless networked control system with packet losses in the sensor-to-controller channel. Based on a predictive control compensation strategy, the closed-loop model with packet losses is established. The event-triggered conditions are derived by choosing the performance objective function of MPC as a Lyapunov function. Further, the maximal allowable number of successive packet losses is presented. Under the proposed mechanism, the energy consumption of the wireless network is alleviated and closed-loop stability is guaranteed. Finally, simulation results are shown to illustrate the effectiveness of the proposed method.

关键词： Packet loss Predictive control Networked control systems Wireless networks Closed loop systems Wireless sensor networks

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An Optimized BCI System Based on P300 and Visual Mismatch Negativity

An Optimized BCI System Based on P300 and Visual Mismatch Ne...

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International Conference on Information Science and control Engineering (ICISCE)

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

ISBN: (纸本)9781467368513

This paper presents a brain-computer interface (BCI) in which the face paradigm was optimized for the visual mismatch negativity (MMN). There were 12 cells in a LCD monitor. A single letter was at the bottom of each cell. In the new paradigm, a color face appeared above each of the 12 cells randomly while the gray faces appeared in others 11 cells. A traditional face paradigm with single character pattern was compared. Three healthy subjects participated in the experiment. Results showed that the new paradigm elicited larger N200 and N400 components than traditional face paradigm and had better performance in online session. The results demonstrated the advantages of the new paradigm in our P300 speller system.

关键词： Face Frequency modulation Visualization Accuracy Brain-computer interfaces Electroencephalography Electrodes

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Hyperspectral reflectance imaging for benzoyl peroxide detection in flour

Hyperspectral reflectance imaging for benzoyl peroxide detec...

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American Society of Agricultural and Biological Engineers Annual International Meeting 2015

作者： Huang, Min Kim, Moon S. Chao, Kuanglin Qin, Jianwei Zhu, Qibing Key Laboratory of Advanced Process Control for Light Industry Jiangnan University Ministry of Education Wuxi214122 China Agricultural Research Service Environmental Microbial and Food Safety Laboratory USDA BeltsvilleMD20705 United States

ISBN: (纸本)9781510810501

Adding benzoyl peroxide into wheat flour has been prohibited by the government department of many countries. It is of great importance to detect benzoyl peroxide concentration in wheat flour quickly. This study was aimed at exploring the feasibility of detecting benzoyl peroxide particles in flour using near-infrared hyperspectral reflectance images from 937.5 nm -1653.7 nm. Following image preprocessing (correcting and background removal), the spectrum of each pixel in the sample images was classified by band ratio method. chemical images were created for the distribution of benzoyl peroxide particles within images of flour mixture samples that were prepared with different concentrations (0.2%, 0.5%, 2% and 5%). The study demonstrated that hyperspectral imaging technique was an effective method for benzoyl peroxide adulteration detection in wheat flour. The method described in this study can also be applied to other chemicals or multi-chemicals adulterant detection in flour.

关键词： Hyperspectral imaging

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Corrigendum to “Research on data reconciliation based on generalized T distribution with historical data” [Neurocomputing 175PA (2015) 808–815]

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Neurocomputing 2016年 177卷 670-670页

作者： Shengxi Wu Qiang Ye Cheng Chen Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology No. 130 of Meilong Road Shanghai 200237 China

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Non-fragile fault-tolerant guaranteed cost control for nonlinear networked control system

Non-fragile fault-tolerant guaranteed cost control for nonli...

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International Conference on control, Automation and Information Sciences (ICCAIS)

作者： Yueming Zhi Shun Jiang Feng Pan Ministry of Education Key Laboratory of Advanced Process Control for Light Industry Wuxi China

ISBN: (纸本)9781479998937

The problem of non-fragile fault-tolerant guaranteed cost control is studied for a class of nonlinear networked control systems with time delays and packet dropouts. The system parameters are allowed to have time-varying uncertainties, and the actuator faults are assumed to occur in a random way. By utilizing Lyapunov stability theory and linear matrix inequality (LMI) methods, a sufficient condition for the existence of the H8 guaranteed cost fault-tolerant controller is derived, and then the desired non-fragile controller gain is obtained by solving the LMIs. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method.

关键词： Networked control systems Actuators Linear matrix inequalities Robustness Fault tolerance Fault tolerant systems Symmetric matrices

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The data filtering based iterative parameter estimation for multivariable chemical process systems

The data filtering based iterative parameter estimation for ...

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第26届中国过程控制会议（CPCC2015）

作者： Yanjiao Wang Xuehai Wang Feng Ding Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan University

Multivariable systems, i.e., multi-input multi-output(MIMO) systems, exist widely in chemical *** modeling and parameter identification have been hot topics in the field of process control. This paper considers the parameter estimation of an MIMO chemical process described by the multivariable Box-Jenkins model using the data filtering technique. By means of the hierarchical identification principle, a gradient based iterative identification algorithm is presented for multivariable Box-Jenkins systems through filtering the input-output data. The simulation shows that the proposed algorithm has higher computational efficiency and can generate more accurate parameter estimates, compared with the existing hierarchical gradient based iterative identification method.

关键词： Parameter estimation Iterative method Filtering Hierarchical identification principle chemical process Multivariable system

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Parameter Estimation of Single-input Multiple-output Systems Using the Finite Impulse Response Approximation and Gradient Search

Parameter Estimation of Single-input Multiple-output Systems...

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第27届中国控制与决策会议

作者： Yongsong Xiao Yanjun Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University

ISBN: (纸本)9781479970186

This paper considers the parameter estimation problem of a single-input multiple-output(SIMO) system by using some finite impulse response(FIR) models to approximate the fictitious subsystem's transfer *** derive the least squares parameter estimates of the equivalent FIR models with the FIR model orders increasing from available input/output ***,we use the multi-innovation identification theory to derive a multi-innovation stochastic gradient algorithm for estimating the parameters of the original systems from the estimated FIR model *** proposed algorithm can be extended to other multiple-input multiple-output systems with colored noises.

关键词： System Identification Parameter Estimation FIR models Multi-innovation Identification Theory

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Study on the rules of ozone dissolution and decomposition in different types of solutions

Study on the rules of ozone dissolution and decomposition in...

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The 2014 International Conference on Energy and Environment(ICEE 2014)

作者： P.J.Xue W.W.Ji H.Z.Yang Key Laboratory of the Ministry of Education for Advanced Control in Light Industry Process Jiangnan University

The rules of ozone dissolution and decomposition in solutions with different pH,chemical Oxygen Demand(COD) concentration,and temperature were *** this work,UV spectrometer,fluorescence spectrometer,and ozone concentration sensor were used to analyze products after sample digestion,process of ozone decomposition,and the remaining amount of ozone in the *** results show that the solubility of ozone is inversely proportional to pH and COD concentration in the solution,whereas its decomposition rate is directly proportional to pH and *** has also been found that ozone is more stable in water than in ***,the technique of fluorescence spectrum has been used to detect hydroxyl-free radical from ozone decomposition and it provides another proof for the decomposition rules relative to pH value.

关键词： Ozone decomposition solubility pH COD

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