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International Conference on Mechatronics and control (ICMC)

作者： Sheng Yan Huaicheng Yan Hongbo Shi Hao Zhang Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China Department of Control Theory and and Engineering Tongji University Shanghai China

ISBN: (纸本)9781479925391

This paper deals with H ∞ controller design problem for event-triggered networked control systems (NCSs), where the next task release time and finishing time are predicted based on the sampled states. A new model of NCSs that involves the network conditions, state and event-triggered communication strategy is proposed. Based on this model, some novel criteria for the asymptotic stability analysis and H ∞ state feedback controller design of the event-triggered NCSs with time-varying delay are established to guarantee a prescribed H ∞ disturbance rejection attenuation level. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method.

关键词： Delays State feedback Networked control systems Actuators Stability analysis control design

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Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition

Cost-Quality Adaptive Active Learning for Chinese Clinical N...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Tingting Cai Yangming Zhou Hong Zheng School of Information Science and Engineering East China University of Science and Technology Shanghai China Ministry of Education Key Laboratory of Advanced Control and Optimization for Chemical Processes China

ISBN: (数字)9781728162157

ISBN: (纸本)9781728162164

Clinical Named Entity Recognition (CNER) aims to automatically identity clinical terminologies in Electronic Health Records (EHRs), which is a fundamental and crucial step for clinical research. To train a high-performance model for CNER, it usually requires a large number of EHRs with high-quality labels. However, labeling EHRs, especially Chinese EHRs, is time-consuming and expensive. One effective solution to this issue is active learning, where a model asks labelers to annotate data which is beneficial to model performance improvement. Conventional active learning assumes a single labeler that always replies noiseless answers to queried labels. However, in real settings, multiple labelers provide diverse quality of annotation with varied cost and labelers with low overall annotation quality can still assign correct labels for some specific instances. In this paper, we propose a Cost-Quality Adaptive Active Learning (CQAAL) approach for CNER in Chinese EHRs, which maintains a balance between the annotation quality, labeling cost and the informativeness of selected instances. Specifically, our proposed CQAAL method selects cost-effective instance-labeler pairs to achieve better annotation quality with lower cost in an adaptive manner. Computational results on the CCKS2017 dataset demonstrate the superiority and effectiveness of CQAAL.

关键词： Annotations Uncertainty Labeling Task analysis Entropy Manuals Neural networks

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Leader-follower synchronization for complex dynamical networks via sampled-data control

Leader-follower synchronization for complex dynamical networ...

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Chinese control Conference

作者： Wangli He Feng Qian Qing-Long Han The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University

ISBN: (纸本)9781467325813

This paper is concerned with leader-follower synchronization of complex dynamical networks with sampled-data control. By sampling the signal from the leader at some discrete time instants and using a zero-order hold function, synchronization is achieved between the network and a desired orbit, known as the leader. By applying Lyapunov functional approach and the property of the network topology matrix, a delay-dependent criterion is derived. It is shown that synchronization of N coupled dynamical systems with a leader can be recast into the stability of N decoupled systems, in which eigenvalues of the network topology matrix are involved. Finally, a chaotic neural network is used to illustrate the effectiveness of the proposed method.

关键词： Synchronization Sampled-data control Complex networks

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Fault detection based on polygon area statistics of transformation matrix identified from combined moving window data

Fault detection based on polygon area statistics of transfor...

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第26届中国过程控制会议（CPCC2015）

作者： Bei Wang Xuefeng Yan Yongfei Jin Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Department of Mathematics East China University of Science and Technology

As a classic multivariate statistical method, principal component analysis(PCA) has been widely used in monitoring industrial processes, but it is still necessary to make improvements in having a timely and effective access to variation information. It is known that the transformation matrix generated from real-time PCA model indicates inner relations between original variables and new produced components, so this matrix would be different when some variables deviate from the original values area due to the change of the operating condition. Based on this theory, this paper proposes a novel real-time monitoring approach which utilizes polygon area method to measure the variation degree of the transformation matrices and then constructs a statistic for monitoring purpose. The on-line data are collected through a combined moving window(CMW), which contain normal and monitored data at the same time in order to distinguish the faulty data. To evaluate the performance of the proposed method, a simple numerical simulation and the classic Tennessee Eastman process are employed for illustration, with some PCA-based methods used for comparison.

关键词： principal component analysis combined moving window real-time process monitoring fault detection

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Modeling of batch process based on higher order partial least squares

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Huagong Xuebao/CIESC Journal 2014年第9期65卷 3527-3534页

作者： Wang, Jianping Hu, Yi Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Shanghai200237 China

The products of batch processes are closely related to the daily life of modern people, and it is crucial for batch process monitoring to establish a model based on the normal process data sets. In this paper, according to the characteristics of batch process, a new generalized multilinear regression model, termed the higher order partial least squares (HOPLS), is introduced with the aim to better model the three-way batch data. It differs substantially from the traditional modeling approach, and instead of unfolding the three-way array to a two-way array, it explains the data by a sum of orthogonal Tucker tensors. Higher order orthogonal iteration (HOSVD), tensor transformation and higher order orthogonal iteration (HOOI) are used to find the latent vectors, which contain the maximum information of independent variables and dependent variables simultaneously. And the loading vectors are calculated at the same time. For the new observation values, the dependent variables will be predicted through the output of the model. Finally, the feasibility and efficiency of the method are verified through the PenSim2.0 simulation platform. © All Rights Reserved

关键词： Tensors

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Exponential stability and L2 control for delayed switched systems with mode-dependent average dwell time

Exponential stability and L2 control for delayed switched sy...

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International Conference on Information and Automation (ICIA)

作者： Qian Yang Huaicheng Yan Hao Zhang Mengling Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China Department of Control Science and Engineering Tongji University Shanghai China

ISBN: (纸本)9781509041039

This paper investigates the problem of robustly globally uniformly exponential stability and L 2 control for a class of switched systems with time-varying delay by using mode-dependent average dwell time (MDADT) approach. The MDADT approach is more applicable in practice than the average dwell time method in which each mode in the underlying system has its own average dwell time. Firstly, some sufficient conditions for robustly exponential stability is given by using the MDADT approach and piecewise Lyapunov function. Secondly, the L 2 -gain of the switched system with the external disturbance is analyzed. Then, the state feedback controller gain is obtained to ensure the exponential stability of the switched system. Finally, a numerical example is provided to illustrate the effectiveness of the theoretical results.

关键词： Switched systems Switches control theory Stability criteria

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Study of Photocatalytic Activity of a Nanostructured Composite of ZnS and Carbon Dots

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Advances in Nanoparticles 2022年第4期11卷 111-128页

作者： Irié Bi Irié Williams Essy Kouadio Fodjo Pomi Bi Boussou Narcisse Aka Alla Martin Koffi Koffi Kra Sylvestre Trokourey Albert Zhen Gu Laboratory of Constitution and Reaction of Matter UFR SSMT Université Felix Houphouet Boigny Abidjan Cote d’Ivoire Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

Environmental pollution jeopardizes our existence. For this purpose, research is moving more and more towards the search for economic means and green chemistry to curb this phenomenon. In this context, the photocatalytic activity of zinc sulfide nanoparticles (ZnS NPs) and nanostructured composite ZnS/carbon dots (ZnS/CDs) was evaluated after their synthesis. The results of X-ray diffraction (XRD) analysis indicate that the crystal structure of ZnS/CDs is identical to that of the cubic phase structure of ZnS, revealing that the cubic phase structure of ZnS was not altered in the presence of CDs. Indeed, there is no additional peak in the crystal structure of ZnS/CDs, revealing that the crystalline structure of ZnS is not responsible for the difference in photocatalytic activity between ZnS/CDs and ZnS NPs. Moreover, analysis performed by transmission electron microscopy (TEM) shows aggregation of the synthesized ZnS and ZnS/CDs nanoparticles with an average size estimated around 10 nm and 12 nm, respectively. In addition, the reflectance study in the visible range shows a reduction in the sunlight reflection intensity using ZnS/CDs compared to the capability of ZnS NPs. Photocatalytic degradation tests reveal that ZnS/CDs have the best methylene blue (MB) degradation rate. Indeed, under the optimal conditions, the photocatalytic activity can reach 100% efficiency within 100 min and 240 min of sunlight exposure for the degradation of 7.5 mg/L MB using ZnS/CDs and ZnS, respectively. This improvement in photocatalytic activity of ZnS/CDs may be due to the presence of CDs which can permit to undergo a reduction of reflection properties of ZnS NPs in the visible range. These results show that CDs can play a key role in enhancing the photocatalytic activity of ZnS, and suggest that ZnS/CDs could be used as eco-friendly composite materials for the degradation of organic pollutants of similar structures in the aquatic environment under solar irradiation.

关键词： Fluorescent Carbon Dots (CDs) Photocatalytic Degradation of Methylene Blue Sunlight Reflectance Property Synthesis of ZnS Nanoparticles

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Automatic Estimation of Sleep Level for Nap Based on Conditional Probability of Sleep Stages and An Exponential Smoothing Method

Automatic Estimation of Sleep Level for Nap Based on Conditi...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Bei Wang Xingyu Wang Tao Zhang Masatoshi Nakamura Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Department of Automation Tsinghua University Research Institute of Systems Control Institute for Advanced Research and Education Saga University

ISBN: (纸本)9781457702150

An automatic sleep level estimation method was developed for monitoring and regulation of day time nap sleep. The recorded nap data is separated into continuous 5-second segments. Features are extracted from EEGs, EOGs and EMG. A parameter of sleep level is defined which is estimated based on the conditional probability of sleep stages. An exponential smoothing method is applied for the estimated sleep level. There were totally 12 healthy subjects, with an averaged age of 22 yeas old, participated into the experimental work. Comparing with sleep stage determination, the presented sleep level estimation method showed better performance for nap sleep interpretation. Real time monitoring and regulation of nap is realizable based on the developed technique.

关键词： Sleep level estimation Sleep stage Conditional probability Nap regulation

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Global Sensitivity Analysis for a perfusion bioreactor system in tissue engineering

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IFAC-PapersOnLine 2021年第15期54卷 550-555页

作者： Ioana Nascu Tao Chen Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 200092 China Department of Chemical and Process Engineering University of Surrey GU2 7XH Guildford United Kingdom

This work presents a global sensitivity analysis and simulations of a perfusion bioreactor process using the method of high-dimensional model representation (HDMR). This method was developed to express the input–output relationships of a complex model with a high dimensional input space. The comprehensive mathematical model of convection and diffusion in a perfusion bioreactor, combined with cell growth kinetics, is developed and implemented using Computational Fluid Dynamics (with the commercial software COMSOL Multiphysics v5.5). The model describes the spatio-temporal evolution of glucose concentration, oxygen concentration, lactate concentration and cell density within a 3D polymeric scaffold. A quantitative analysis of the complex kinetic mechanisms using recent development of advanced mathematical approaches to global sensitivity and uncertainty analysis through HDMR can be exploited to investigate the important features of the perfusion bioreactor process as well as possible factors underlying qualitative discrepancies.

关键词： tissue engineering perfusion bioreactor CFD modeling high-dimensional model representation global sensitivity analysis

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A combined computational-fluid-dynamics model and control strategies for perfusion bioreactor systems in tissue engineering

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IFAC-PapersOnLine 2021年第3期54卷 324-329页

作者： Ioana Nascu Daniel Sebastia-Saez Tao Chen Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 200092 China Department of Chemical and Process Engineering University of Surrey GU2 7XH Guildford United Kingdom

This work sets the foundations for the design of control algorithms to facilitate manufacturing of a cell growth process using a continuous perfusion bioreactor. The algorithms are designed to work with different types of cell cultures and deal with major disturbances that might appear in the process. Different types of control strategies are designed, implemented and tested. First, a comprehensive mathematical model of convection and diffusion in a perfusion bioreactor, combined with cell growth kinetics, is developed and implemented using Computational Fluid Dynamics. The model describes the spatio-temporal evolution of glucose concentration and cell density within a 3D polymeric scaffold. Since such a model is too complex to be used directly for control studies, a simplified version is used for the design of the controllers. Finally, the performances of the control strategies are validated against the original high-fidelity CFD model, thus closing the loop. The simulations show good performances and satisfactory behavior.

关键词： tissue engineering perfusion bioreactor CFD modeling PID

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