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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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Integral control on nonlinear spaces: two extensions

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IFAC-PapersOnLine 2016年第18期49卷 1000-1005页

作者： Zhang, Zhifei Ling, Zhihao Sarlette, Alain Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Department of Electronics & Information Systems Ghent University Shanghai China Key Laboratory of A.C.O.C.P. ECUST Shanghai China Department of Electronics & Information Systems Ghent University QUANTIC lab INRIA Paris France

This paper applies the recently developed framework for integral control on nonlinear spaces to two non-standard cases. First, we show that perfect target stabilization in presence of actuation bias holds also if this bias is state dependent. This might not be surprising, but in practice it provides an easy way to robustly cancel nonlinear dynamics of the uncontrolled plant. We specifically illustrate this for robust stabilization of a pendulum at arbitrary angle. Second, as previous work has been restricted to systems with as many control inputs as configuration dimensions, we here provide results for integral control of a non-holonomic system. More precisely, we design robust steering control of a rigid body under velocity bias. © 2016

关键词： Feedback linearization Lie groups Stabilization Arbitrary angles control inputs Geometric control Integral control Nonholonomic systems Robust stabilization State dependent Steering control

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On set stabilization for genetic regulatory networks 35

On set stabilization for genetic regulatory networks

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第35届中国控制会议

作者： LI Fangfei LI Jianning YU Zhaoxu School of Automation Hangzhou Dianzi University Department of Mathematics East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

ISBN: (纸本)9781509009107

Set stabilization for Boolean networks which is a kind of genetic regulatory networks is considered in this paper. An algorithm is provided to achieve the set stability for Boolean networks by changing the columns of the transition matrices of Boolean networks. Then, pinning nodes can be selected. Furthermore, pinning control design algorithm is given. Finally, the model for infection of the bacterium is presented to illustrate the effectiveness of the proposed results.

关键词： Boolean networks set stabilization pinning control semi-tensor product

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Recovering from Feedback Failure in Minimal Time

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IFAC-PapersOnLine 2016年第18期49卷 612-617页

作者： Yu, Zhaoxu Hammer, Jacob Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology No. 130 Meilong Road Shanghai City200237 China Department of Electrical and Computer Engineering University of Florida GainesvilleFL32611-6130 United States

It is well known that feedback failure increases operating errors in control systems. The objective here is to develop controllers that reduce such operating errors in minimal time, once feedback has been restored. It is shown that there are robust optimal feedback controllers that attain this objective, and that the performance of these controllers can be approximated as closely as desired by bang-bang controllers that are easy to derive and implement. © 2016

关键词： Feedback controllers Nonlinear systems optimization Bang bang controllers Operating errors Optimal controls Optimal Feedback

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Input-Output Finite-Time Stability and Stabilization of Stochastic Fuzzy Systems With Randomly Occurring Uncertainties and Gain Fluctuations

Input-Output Finite-Time Stability and Stabilization of Stoc...

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World Congress on Intelligent control and Automation

作者： Jun Song Yugang Niu Yuanyuan Zou Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education Shanghai 200237 China

ISBN: (纸本)9781467384155

This paper studies the input-output finite-time stabilization problem of a class of fuzzy stochastic systems with randomly occurring uncertainties and (x, u)-dependent noises. By considering the randomly occurring gain fluctuations in controller gains, a fuzzy controller is designed to render the closed-loop system input-output finite-time stochastic stability with respect to some specified parameters. Through intensive stochastic analysis, a sufficient condition is established for the controller design via a convex optimization approach. A numerical example is exploited to demonstrate the effectiveness of the proposed design method.

关键词： Fuzzy systems Asymptotic stability Stability analysis Numerical stability Uncertainty Stochastic processes Aerospace electronics

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Robust Exponential Stability and L2-Gain Analysis for Uncertain Switched Nonlinear Cascaded Systems with Time-Varying Delay

Robust Exponential Stability and L2-Gain Analysis for Uncert...

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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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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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Harmony search algorithm with differential evolution based control parameter co-evolution and its application in chemical process dynamic optimization

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Journal of Central South University 2015年第6期22卷 2227-2237页

作者：范勤勤王循华颜学峰 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education (East China University of Science and Technology)

A modified harmony search algorithm with co-evolutional control parameters(DEHS), applied through differential evolution optimization, is proposed. In DEHS, two control parameters, i.e., harmony memory considering rate and pitch adjusting rate, are encoded as a symbiotic individual of an original individual(i.e., harmony vector). Harmony search operators are applied to evolving the original population. DE is applied to co-evolving the symbiotic population based on feedback information from the original population. Thus, with the evolution of the original population in DEHS, the symbiotic population is dynamically and self-adaptively adjusted, and real-time optimum control parameters are obtained. The proposed DEHS algorithm has been applied to various benchmark functions and two typical dynamic optimization problems. The experimental results show that the performance of the proposed algorithm is better than that of other HS variants. Satisfactory results are obtained in the application.

关键词： harmony search differential evolution optimization co-evolution self-adaptive control parameter dynamic optimization

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Fault diagnosis and process monitoring using a statistical pattern framework based on a self-organizing map

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Journal of Central South University 2015年第2期22卷 601-609页

作者：宋羽姜庆超颜学峰 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education(East China University of Science and Technology)

A multivariate method for fault diagnosis and process monitoring is proposed. This technique is based on a statistical pattern(SP) framework integrated with a self-organizing map(SOM). An SP-based SOM is used as a classifier to distinguish various states on the output map, which can visually monitor abnormal states. A case study of the Tennessee Eastman(TE) process is presented to demonstrate the fault diagnosis and process monitoring performance of the proposed method. Results show that the SP-based SOM method is a visual tool for real-time monitoring and fault diagnosis that can be used in complex chemical *** with other SOM-based methods, the proposed method can more efficiently monitor and diagnose faults.

关键词： statistic pattern framework self-organizing map fault diagnosis process monitoring

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Concentrate your mind by counting the flashing point: A new P300 pattern in BCI

Concentrate your mind by counting the flashing point: A new ...

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International Conference on Information Science and Technology (ICIST)

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

ISBN: (纸本)9781509012251

Brain-computer interface (BCI) can help patients who lost control over most muscles but are still conscious to communicate or interact with the environment. In the offline experiment, all the subjects have to do is counting the target stimulus when they were using the visual-evoked event-related potential (ERP) based BCIs. The recorded electroencephalogram (EEG) data was used to train the classification mode. However, subjects may get distracted in counting the target stimulus when the non-target stimulus affected the subjects or subjects lost their attentions which may negatively affect the task performance. In this study, some green flashing points was added into the stimuli. The subjects have to focus on the target stimulus and count the number of the green points in target stimulus at the same time. In this way, it will make subjects concentrate more on the target to count the green points compared to the pattern without green points. The result showed that the performance of the BCI system could be improved using the method presented in this paper.

关键词： P300 brain-computer interface (BCI) concentration event-related potentials (ERP)

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