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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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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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An improved discrete artificial bee colony algorithm for hybrid flow shop problems

Communications in Computer and Information Science

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Communications in Computer and Information Science 2013年 355卷 294-302页

作者： Cui, Zhe Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai 200237 China

Being a typical NP-hard combinatorial optimization problem, the hybrid flow shop (HFS) problem widely exists in manufacturing systems. In this paper, we firstly establish the model of the HFS problem by employing the vector representation. Then an improved discrete artificial bee colony (IDABC) algorithm is proposed for this problem to minimize the makespan. In the IDABC algorithm, a novel differential evolution and a modified variable neighborhood search are studied to generating new solutions for the employed and onlooker bees. The destruction and construction procedures are utilized to obtain solutions for the scout bees. The simulation results clearly imply that the proposed IDABC algorithm is highly effective and efficient as compared to six state-of-the-art algorithms on the same benchmark instances. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Manufacture

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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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A Dynamic Event-Triggered Approach to Multi-Agent Consensus

A Dynamic Event-Triggered Approach to Multi-Agent Consensus

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Chinese control Conference (CCC)

作者： Xianwei Li Yang Tang Shaoyuan Li Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

This paper focuses on designing dynamic event-triggered (DET) protocols for consensus control of general linear multi-agent systems (MASs). Design algorithms are constructed for DET protocols with static and adaptive coupling, respectively. The designed event-triggering conditions involve internal dynamic variables that depend on the error information of the system, which provide more flexibility to reduce the number of triggered events than the existing results on linear MASs. The protocol with adaptive coupling is of the fully distributed nature. It is proved that the proposed protocols can ensure consensus and are not Zeno. A numerical example is provided to illustrate the effectiveness and advantages of the designed protocols.

关键词： Protocols Couplings Laplace equations Multi-agent systems Lyapunov methods Closed loop systems optimization

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Research on online multiple model soft-sensor

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chemical Engineering Transactions 2017年 61卷 1795-1800页

作者： Wang, Shijie Wang, Zhenlei Wang, Xin Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai200240 China

Offline updating is a method that most of multiple model soft-sensors used to adapt the new operating conditions. Replacing online models with offline ones is bound to affect the efficiency of soft-sensors, and it costs manpower as well as time simultaneously. It takes maintenance staffs some time to re-train complete models, which requires a lot of historical data, and then the existing models will be changed with new ones. A soft-sensor that can be added or subtracted models online is proposed in this paper. Density-based spatial clustering of applications with noise (DBSCAN) is employed for clustering analysis. Compared with traditional kernel fuzzy clustering method (KFCM), DBSCAN improves the ability of filtering out noise and enhance the ability to decide whether there is a new working condition. However, the clustering results of DBSCAN are extremely sensitive to the input parameters. In this study, kernel density estimation (KDE) is applied to determine the number of subsets and a novel method is proposed to determine the parameters. The new sub-models can be directly added to the online models after trained. The results of soft-sensor achieved by a number of models according to the switching or weighted way. The method proposed in this paper is applied to the measurement of cracking depth of ethylene cracking furnace, which proves the practicability and effectiveness. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Ethylene

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Adaptive strategy for time window length in SSVEP-based brain-computer interface

Adaptive strategy for time window length in SSVEP-based brai...

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International Conference on Mechatronics and control (ICMC)

作者： Yu Zhang Hehe Ma Jing Jin Xingyu Wang Key Laboratory for Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China Shanghai Electric Group Co Ltd Shanghai Shanghai CN

ISBN: (纸本)9781479925391

Most of the existed methods for steady-state visual evoked potential (SSVEP) recognition require a specified time window length (TWL) to estimate the dominant frequency components in EEG signals. Typically, the TWL is manually predetermined and then fixed during running of the SSVEP-based brain-computer interface (BCI), which may not give the optimal information transfer rate (ITR). This study proposes an adaptive strategy and integrates it into multivariate synchronization index for SSVEP recognition with the automatically determined TWL. The optimal TWL is adaptively selected according to the estimated synchronization index, which provides the relatively higher ITR for the SSVEP recognition than a fixed TWL does. Experimental results evaluated on nine healthy subjects demonstrated effectiveness of the proposed adaptive strategy for the TWL in SSVEP-based BCI.

关键词： Electroencephalography Synchronization Accuracy Brain-computer interfaces Indexes Correlation Frequency synchronization

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Delay-dependent output feedback integral sliding mode control of singularly perturbed systems

Delay-dependent output feedback integral sliding mode contro...

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International Conference on control and Automation (ICCA)

作者： Jing Xu Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Shanghai China

ISBN: (数字)9781728190938

ISBN: (纸本)9781728190945

This paper presents a descriptor system method for output feedback integral sliding mode control of singularly perturbed systems. The fast state, representing the derivative of output, is approximated with aid of an artificial time-delay estimator. Then, a delay-dependent integral sliding mode controller is designed to ensure the occurrence of sliding phase since the initial time instant. The finite frequency uncertainty is divided into the matched and uncertainty uncertainty. On this basis, the proposed controller contains the nominal part to attain the robustness to the unmatched uncertainty, and the switching part to compensate the matched uncertainty. Finally, the effectiveness of the design method is verified in a mass-damper-spring system subject to finite frequency perturbations.

关键词： Uncertainty Output feedback Perturbation methods Sliding mode control Linear matrix inequalities Delay effects Matrix decomposition

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Intelligent scheduling and flexible operation for the commercial-scale coal-fired power plant integrated with post-combustion carbon capture

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IFAC-PapersOnLine 2022年第9期55卷 553-558页

作者： Peizhi Liao Xiao Wu Meihong Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 China Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and Environment Southeast University Nanjing 210096 China

This paper develops a two-level control structure for commercial-scale coal-fired power plant integrated with post-combustion carbon capture (CFPP-PCC). In high-level scheduler, an economic objective function with the consideration of grid demand, price conditions and system constraints is developed. Deep belief network is utilized to develop the steady-state model for CFPP-PCC process. Intelligent scheduling of electricity generation and capture level is then implemented using Bayesian optimization. Given the optimal setpoints, model predictive controller (MPC) is applied to achieve flexible operation in the low-level supervisory control. The simulation results show that the proposed control structure specifies an economically attractive operation profile for the CFPP-PCC process.

关键词： Coal-fired power plant Post-combustion carbon capture Deep belief network Optimal scheduling Model predictive control

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Cost-quality adaptive active learning for chinese clinical named entity recognition

arXiv

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arXiv 2020年

作者： Cai, Tingting Zhou, Yangming Zheng, Hong School of Information Science and Engineering East China University of Science and Technology Shanghai200237 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education China

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 is active learning, where a model asks labelers to annotate data which the model is uncertain of. 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 costs 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 costs, and the informativeness of selected instances. Specifically, CQAAL selects cost-effective instance-labeler pairs to achieve better annotation quality with lower costs in an adaptive manner. Computational results on the CCKS-2017 Task 2 benchmark dataset demonstrate the superiority and effectiveness of the proposed CQAAL. Copyright © 2020, The Authors. All rights reserved.

关键词： Records management

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