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第35届中国控制会议

作者： Qian Yang Huaicheng Yan Hao Zhang Wen Yang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education School of information Science and Engineering East China University of Science and Technology

ISBN: (纸本)9781509009107

The robust exponential stability and L-gain analysis of the uncertain switched nonlinear cascade systems with time varying delay are considered in this ***,a sufficient condition for robustly exponential stability is studied by using the average dwell-time method,piecewise Lyapunov function and free weighting matrix approach,and then the L-gain of the uncertain switched nonlinear cascaded systems with the external disturbance is ***,the switching law and the average dwell-time are ***,a numerical example is provided to illustrate the effectiveness of the proposed results.

关键词： Robust exponential stability L2-gain nonlinear cascade system average dwell-time time-varying delay

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An aligned mixture probabilistic principal component analysis for fault detection of multimode chemical processes

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Chinese Journal of chemical Engineering 2015年第8期23卷 1357-1363页

作者：杨雅伟马玉鑫宋冰侍洪波 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

A novel approach named aligned mixture probabilistic principal component analysis(AMPPCA) is proposed in this study for fault detection of multimode chemical processes. In order to exploit within-mode correlations,the AMPPCA algorithm first estimates a statistical description for each operating mode by applying mixture probabilistic principal component analysis(MPPCA). As a comparison, the combined MPPCA is employed where monitoring results are softly integrated according to posterior probabilities of the test sample in each local model. For exploiting the cross-mode correlations, which may be useful but are inadvertently neglected due to separately held monitoring approaches, a global monitoring model is constructed by aligning all local models together. In this way, both within-mode and cross-mode correlations are preserved in this integrated space. Finally, the utility and feasibility of AMPPCA are demonstrated through a non-isothermal continuous stirred tank reactor and the TE benchmark process.

关键词： Multimode process monitoring Mixture probabilistic principal component analysis Model alignment Fault detection

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Fast Modeling Ethylene Yield for Cracking Furnace via Transfer Learning based on Time Series

Fast Modeling Ethylene Yield for Cracking Furnace via Transf...

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第27届中国过程控制会议（CPCC2016）

作者： ZHOU Shuheng DU Wenli Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education Academy of Information Science and EngineeringEast China University of Science and Technology

An ethylene plant's main purpose is to convert hydrocarbon feedstock,usually natural gas liquids or naphtha,into a "cracked gas" that contains ethylene and other higher value products,by breaking carbon-carbon bonds in the *** process also results in the slow deposition of coke,a form of carbon,on the reactor *** coke layer on the internal tube skin reduces the cross section of the reactor tube,increases the pressure drop and also degrades the efficiency of the *** characteristic that continuous operational performance of cracking furnaces gradually decays within time brings challenge to the operational scheduling for the entire furnace *** it's normally time-consuming to develop a new process model for multiple feeds and different cracking furnaces in the new process *** this paper,a transfer learning method based on time series is proposed for fast modeling ethylene yields from the view of common characteristics that ethylene yield decays over *** to previous studies,the new model allows to take advantage of a small amount of newly labeled data to construct a high-quality prediction model for the new ***,it obtains satisfied short-term forecast *** studies demonstrate the efficacy of the developed methodology.

关键词： Fast Modeling Ethylene Yield for Cracking Furnace via Transfer Learning based on Time Series

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Improving the performance of online classifier by removing the error samples from offline training data

Improving the performance of online classifier by removing t...

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IEEE International Conference on Computer and Communications, ICCC 2015

作者： Zhang, Hanhan Jin, Jing Zhou, Sijie Zhang, Yu Wang, Xingyu 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)9781467381253

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. © 2015 IEEE.

关键词： Brain computer interface

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Distributed event triggered H∞ filtering with nonhomogeneous Markov switching topologies

Distributed event triggered H∞ filtering with nonhomogeneou...

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UKACC International Conference on control (control)

作者： Wen Song Hao Zhang Huaicheng Yan Chen Peng Department of Control Science and Engineering Tongji University Shanghai China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China School of Mechatronic Engineering and Automation Shanghai University Shanghai China

The distributed H ∞ state estimation problem over a filtering network with Markov switching topology is studied in this paper by employing event-triggered strategy. The strategy at each node is built on the output estimation error of its own and those received from its neighbours. Based on the communication uncertainty of practical networks, switching topology which subjects to a heterogeneous Markov chain is considered in filter design. By utilizing stochastic Markov stability theory, switching topology-dependent filters are designed such that the underlying error system is stochastically stable in mean square and the disturbance rejection attenuation level guarantees an H ∞ performance bound. An illustrative example is presented to show the applicability of the obtained results.

关键词： Network topology Switches Topology Symmetric matrices Markov processes Estimation error Attenuation

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Guaranteed cost filtering for discrete-time multi-layer neural networks with time-varying delays and unideal measurements

Guaranteed cost filtering for discrete-time multi-layer neur...

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International Conference on Information and Automation (ICIA)

作者： Hao Zhang Huaicheng Yan Congzhi Huang Mengling Wang East China University of Science and Technology Shanghai Shanghai CN Key Laboratory of Adv Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781509041039

This paper is concerned with the guaranteed cost filtering problem for discrete-time multi-layer neural networks with unideal measurements and time-varying delays. First, the innovative state space model of multi-layer neural networks can be described by the weighted-nonlinear function, which means that there have connections among neural layers. Then, the unideal measurements are made up by combination of random sensor nonlinearity and partial missing measurements, where partial missing measurements is the product of two mutually independent stochastic variables and normal measurements. Moreover, by using proportionate-additive filter and constructing a unified Lyapunov function, a novel criterion is proposed so that the augmented filtering error system achieves robust stability and has a guaranteed cost index. Finally, simulation results are presented to demonstrate the effectiveness of the derived method.

关键词： Delays Multi-layer neural network Robustness Linear matrix inequalities Radio frequency

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An effective discrete artificial bee colony algorithm for flow shop scheduling problem with intermediate buffers

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Journal of Central South University 2015年第9期22卷 3471-3484页

作者：张素君顾幸生 School of Mechanical and Electrical Engineering Henan Institute of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology

An effective discrete artificial bee colony(DABC) algorithm is proposed for the flow shop scheduling problem with intermediate buffers(IBFSP) in order to minimize the maximum completion time(i.e makespan). The effective combination of the insertion and swap operator is applied to producing neighborhood individual at the employed bee phase. The tournament selection is adopted to avoid falling into local optima, while, the optimized insert operator embeds in onlooker bee phase for further searching the neighborhood solution to enhance the local search ability of algorithm. The tournament selection with size 2 is again applied and a better selected solution will be performed destruction and construction of iterated greedy(IG) algorithm, and then the result replaces the worse one. Simulation results show that our algorithm has a better performance compared with the HDDE and CHS which were proposed recently. It provides the better known solutions for the makespan criterion to flow shop scheduling problem with limited buffers for the Car benchmark by Carlier and Rec benchmark by Reeves. The convergence curves show that the algorithm not only has faster convergence speed but also has better convergence value.

关键词： discrete artificial bee colony algorithm flow shop scheduling problem with intermediate buffers destruction and construction tournament selection

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Multi-stage Process Analysis and Modelling based Online Monitoring for Chip Packaging Process

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IFAC-PapersOnLine 2015年第28期48卷 993-998页

作者： Qin, Yan Zhao, Chunhui Gao, Furong State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Hangzhou310027 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Shanghai20023 China Department of Chemical and Biomolecular Engineering The Hong Kong University of Science and Technology Cleary Water Bay Kowloon Hong Kong

As one of the crucial semiconductor manufacturing steps, chip packaging process plays an important role to provide a phys ical protection, electric interconnection environment for naked wafer. In the present work, the chip packaging process is analyzed in detail for process understanding and monitoring. First, detailed description of the chip packaging process is given to help better understand the process. Then, the underlying process characteristics are explored and multi-stage nature of chip packaging process is revealed by t racking changes of process variable correlat ions. The whole process is divided into several modeling phases using a step-wise sequential phase partition algorithm, agreeing well with the real process. Stage-based online monitoring and fault diagnosis is performed to analyze some common abnormal behaviors in this process. The stage-based analysis results not only provide reliable online monitoring and fault diagnosis performance but also provide enhanced process understanding. © 2015

关键词： Chip scale packages Batch data processing Failure analysis Fault detection Packaging Partial discharges Process monitoring Semiconductor device manufacture Batch process Chip packaging Diagnosis performance Electric interconnection Multi stage Process characteristics Process understanding Semiconductor manufacturing

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Consensus in a network of multi-agent systems under sampled data control with deterministic packet losses

Consensus in a network of multi-agent systems under sampled ...

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Annual Conference of Industrial Electronics Society

作者： Wenbing Zhang Yang Tang School of Mathematical Sciences Yangzhou University Jiangsu P. R. China The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai P. R. China

In this paper, consensus of multi-agent systems containing linear self dynamics is investigated. By considering packet losses, a sampled data protocol with packet losses is considered. A switched systems including stable modes and unstable modes is considered here to describe packet losses. By using the contradiction method and the Lyapunov function method, a sufficient condition on consensus of the multi-agent system under consideration is obtained, where the controller can be solved in the form of convex optimization approaches. In addition, the maximum sampling interval is also given.

关键词： Computational modeling Logic gates Robots Switches

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Design of a visual information-based brain-computer interface control system 11

Design of a visual information-based brain-computer interfac...

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11th International Conference on Natural Computation, ICNC 2015

作者： Hu, Huiping Jin, Jing Zhang, Yu Wang, Xingyu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai200237 China

ISBN: (纸本)9781467376792

Brain computer interface (BCI) could help patients to manipulate external devices based on the specific brain activities. One of the most popular BCI systems is the visual-based BCI system. Mostly, users were asked to pay attention not only to the target stimulus, but also to the real control target which would bring high workload to users and affect the control efficiency of BCI systems. In this paper, a real-time monitoring system was developed to solve this problem by showing the environment information from the camera on the computer screen. Five subjects took part in this experiment and all of them were asked to control a small car to the target position. Our result showed that all subjects could finish the task within two or three minutes. In this study, subject did not need to switch their attention on the car which was out of their sight, and it would help to improve the usability of BCI in the practical application. © 2015 IEEE.

关键词： Cameras

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