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Surrogate model of aromatic isomerization process based on adaptive sampling algorithm

Huagong Xuebao/CIESC Journal 2020年第2期71卷 688-697页

作者： Xie, Yuheng Li, Zhi Yang, Minglei Du, Wenli State Key Laborotory of Chemical Engineering Key Laboratory of Advanced Control and Optimization for Chemical Processed of Ministry of Education East China University of Science and Technology Shanghai200237 China

Isomerization is an important part in the production of aromatics. Improving the modeling and optimization efficiency of isomerization is of great significance to industrial production. However, the optimization process using the mechanism model directly takes a long time and the optimization efficiency is low. The surrogate model can effectively approximate the mechanism model and greatly reduce the computation time. The surrogate model sampling method has a great influence on the accuracy of the model. A new adaptive sampling algorithm based on sparsity and nearest neighbor expectation is proposed in this paper, which can balance global search and local search. By solving the optimization problem, we can find new sampling points that reflect the key information of the object function, and then add the new point to the sample set, so that the accuracy of the surrogate model is continuously improved. The results of multiple test functions show that compared with other adaptive sampling algorithms, the algorithm can effectively improve the accuracy and modeling efficiency of the surrogate model. The algorithm is also validated in the aromatic isomerization surrogate model. Compared with other algorithms, our algorithm model error is reduced by more than 5%, and the modeling time is reduced by more than 30%. © All Right Reserved.

关键词： Isomerization

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Specific Πδ+–Πδ- Interaction Enables Conjugated Microporous Polymers For Highly Selective Capture of Pd(Ii)

SSRN

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SSRN 2022年

作者： Sheng, Xin Shi, Hui You, Deng Ding, Xuan Peng, Mingming Shao, Penghui Yang, Liming Wang, Haozhi Luo, Xubiao Luo, Shenglian Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle Nanchang Hangkong University Nanchang330063 China National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization Nanchang Hangkong University Nanchang330063 China Key Laboratory of Advanced Ceramics and Machining Technology Ministry of Education School of Materials Science and Engineering Tianjin University Tianjin300072 China

The targeted capture of heavy metals from wastewater is urgently necessary in response to strategic demands of sustainable resource utilization, but it is severely hampered by the fo... 详细信息

The targeted capture of heavy metals from wastewater is urgently necessary in response to strategic demands of sustainable resource utilization, but it is severely hampered by the formation of specific adsorbent-adsorbate interactions. Herein, the conjugated microporous polymer CMP-1 with –C≡C– binding sites is introduced for the adsorption of PdCl42- in acid wastewater. The matched interaction between –C≡C– with vertical π bond and electron-rich Pd center with exhibits exceptional PdCl42- selectivity in competitive systems with coexisting heavy metals. To regulate the electron density of π bond in –C≡C– to further reinforce the πδ+–πδ- interaction, p-FCMP and o-FCMP adsorbents are rationally designed through the substitution of electro-withdrawing F group at different positions. A joint experimental-simulation exploration reveals that the F-induced electron oriented migration in –C≡C– results in the decreased π-electron density, therefore enhancing the binding of PdCl42-. Notably, o-FCMP possesses the maximum positive charge density at –C≡C– binding sites, which greatly promotes the charge transfer between –C≡C– and PdCl42- for stronger bonding interaction, achieving an optimal adsorption capacity of 447.7 mg g-1 as well as enhanced selectivity. This work provides unique insights into the efficiently targeted removal of heavy metals. © 2022, The Authors. All rights reserved.

关键词： Palladium compounds

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Switchable PID controller Tuning Based on Golden Section Reduction Rule

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IFAC-PapersOnLine 2020年第2期53卷 11068-11073页

作者： Jingao Sun Guanghao Su Xianfeng Chen Wen Yang Key Laboratory of Advanced Control and Optimization for Chemical Processes of the Ministry of Education East China University of Science and Technology Shanghai 200237 China

Resulting from the complexity and sensitivity instinct, high-order control system design is always a challenge faced by engineers from process industry. To solve this challenging task, a switchable control scheme consisted of two sub-controllers tuned based on two complementary simplified models respectively is proposed in this paper, and golden section is introduced into process model reduction to simplify parameter tuning. Inspired by adaptive control strategy, the controller switch mechanism depends on the time domain response similarity between the original high-order model and the simplified model. Besides, PID controller structure and corresponding parameter tuning method, such as Ziegler-Nichols method and SIMC method, are remained to guarantee the facility and efficiency of sub-controller design. The proposed method has been tested on several examples (balanced, lag-dominant, and a delay-dominant process) and the comparison with other tuning method based on step-response data resulting in favorable control performance.

关键词： high-order system model reduction multiple models switching PID control

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Label-Smooth Learning for Fine-Grained Visual Categorization 5th

Label-Smooth Learning for Fine-Grained Visual Categorization

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5th Asian Conference on Pattern Recognition, ACPR 2019

作者： Mo, Xianjie Wei, Tingting Zhang, Hengmin Huang, Qiong Luo, Wei College of Mathematics and Informatics South China Agricultural University GuangzhouGD510642 China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China

ISBN: (纸本)9783030414030

Fine-Grained Visual Categorization (FGVC) is challenging due to the superior similarity among categories and the large within-category variance. Existing work tackles this problem by designing self-localization modules in an end-to-end DCNN to learn semantic part features. However the model efficiency of this strategy decreases significantly with the increasing of the number of categories, because more parts are needed to offset the impact of the increasing of categories. In this paper, we propose a label-smooth learning method that improves models applicability to large categories by maximizing its prediction diversity. Based on the similarity among fine-grained categories, a KL divergence between uniform and prediction distributions is established to reduce model’s confidence on the ground-truth category, while raising its confidence on similar categories. By minimizing it, information from similar categories are exploited for model learning, thus diminishing the effects caused by the increasing of categories. Experiments on five benchmark datasets of mid-scale (CUB-200-2011, Stanford Dogs, Stanford Cars, and FGVC-Aircraft) and large-scale (NABirds) categories show a clear advantage of the proposed label-smooth learning and demonstrate its comparable or state-of-the-art performance. Code is available at https://***/Cedric-Mo/LS-for-FGVC. © Springer Nature Switzerland AG 2020.

关键词： Convolutional neural networks

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Real-time Online UAV Images Mosaic with Robustness to Cumulative Errors 20

Real-time Online UAV Images Mosaic with Robustness to Cumula...

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2020 International Conference on Computing, Networks and Internet of Things, CNIOT 2020

作者： Xia, Xing Wang, Bei Li, Jing Song, Li Gong, Yi Hang Deng, Bao Song Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China National Innovation Institute of Defense Technology Academy of Military Science Tianjin Artificial Intelligence Innovation Center Tianjing China

ISBN: (纸本)9781450377713

In this paper, a novel real-time online UAV image mosaic algorithm is proposed to meet the real-time, robustness and accuracy requirements of practical application. First, the algorithm adopts GPS and track planning information to locate the adjacent images. Instead of the 8-DOF (degrees of freedom) homography transformation, the 4-DOF similarity transformation is estimated to more robustly register the UAV images and reduce their perspective errors. Second, a new method of local registration is developed to reduce the cumulative errors and calculation costs. Meanwhile, the real-time mosaic process is used to register images and update the panoramic image. Finally, the effectiveness of the proposed approach is evaluated by a group of experiments on 4K images taken by quadrotor drones. According to the comparison of experiments, the proposed algorithm is robust to cumulative errors and obtains high-quality panorama. Additionally, through the analysis on stitching time and practical application, frame-by-frame mosaic synthesis is online updated in real-time. © 2020 ACM.

关键词： Unmanned aerial vehicles (UAV)

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Zoning search using a hyper-heuristic algorithm

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Science China(Information Sciences) 2019年第9期62卷 193-195页

作者： Qinqin FAN Ning LI Yilian ZHANG Xuefeng YAN Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai Jiao Tong University Logistics Research Center Shanghai Maritime University Key Laboratory of Marine Technology and Control Engineering Ministry of CommunicationsShanghai Maritime University Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Dear editor,With the development of high-performance computing techniques, run time of meta-heuristic algorithms can be reduced effectively. However, improved computation power has not been indirectly converted into search capability in most of previous studies [1]. Moreover, the solution precision of an optimization problem is directly determined

关键词： pro CEC Zoning search using a hyper-heuristic algorithm

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Tailoring grain growth and solid solution strengthening of single-phase CrCoNi medium-entropy alloys by solute selection

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Journal of Materials Science & Technology 2020年第19期54卷 196-205页

作者： G.W.Hu L.C.Zeng H.Du X.W.Liu Y.Wu P.Gong Z.T.Fan Q.Hu E.P.George Key Laboratory of Metallurgical Equipment and Control Technology Ministry of EducationWuhan University of Science and TechnologyWuhan 430081China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and TechnologyWuhan 430081China State Key Laboratory of Materials Processing and Die&Mould Technology Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory for Advanced Metals and Materials University of Science and Technology BeijingBeijing 100083China Institute of Applied Physics Jiangxi Academy of SciencesNanchang 330029China Oak Ridge National Laboratory Materials Science and Technology DivisionOak RidgeTN37831USA Department of Materials Science and Engineering University of TennesseeKnoxvilleTN37996USA

In the present study,we selected solutes to be added to the Cr Co Ni medium-entropy alloy(MEA)based on the mismatch of self-diffusion activation energy(SDQ)between the alloying elements and constituent elements of the matrix,and then investigated their grain growth behavior and mechanical *** and Al were selected as the solutes for investigation primarily because they have higher and lower SDQ,respectively,than those of the matrix elements;a secondary factor was their higher and lower shear *** concentrations were fixed at 3 at.%each because previous work had shown these compositions to be single-phase solid solutions with the face-centered cubic *** alloys were produced by arc melting,casting,homogenizing,cold rolling and annealing at various temperatures and times to produce samples with different grain *** were(a)the base alloy Cr Co Ni,(b)the base alloy plus 3 at.%Mo,and(c)the base alloy plus 3 at.%*** activation energies for grain growth of the Cr Co Ni,Cr Co Ni-3Mo and CrCo Ni-3Al MEAs were found to be^251,~368 and^219 k J/mol,respectively,consistent with the notion that elements with higher SDQ(in this study Mo)retard grain growth(likely by a solute-drag effect),whereas those with lower values(Al)accelerate grain *** roomtemperature tensile properties show that Mo increases the yield strength by^40%but Al addition has a smaller strengthening effect consistent with their relative shear *** yield strength as a function of grain size for the three single-phase MEAs follows the classical Hall-Petch relationship with much higher slopes(>600 MPaμm-0.5)than traditional solid *** work shows that the grain growth kinetics and solid solution strengthening of the Cr Co Ni MEA can be tuned by selecting solute elements that have appropriate diffusion and physical properties.

关键词： Medium and high entropy alloys Solute-drag effect Microstructure Grain growth kinetics Solid solution strengthening

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Real-time Updating Technology of Local Area Orthoimages Based on 3D Digital Earth 20

Real-time Updating Technology of Local Area Orthoimages Base...

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3rd International Conference on Computer Science and Software Engineering, CSSE 2020

作者： Song, Li Niu, Yugang Deng, Baosong Li, Jing Xia, Xing Gong, Yihang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China National Innovation Institute of Defense Technology Academy of Military Science Beijing China School of Software Tianjin University Tianjin China

ISBN: (纸本)9781450375528

In order to solve the problems of poor real-time performance and single display method in traditional unmanned aerial vehicle(UAV) orthographic image mosaic, this paper proposes a real-time updating technology of local area orthoimages based on 3D digital earth, which can be widely used in the fields of emergency rescue, environmental monitoring and military *** technology is that in the process of UAV aerial photography, the server receives sequence aerial image in real time and synchronously completes orthographic image splicing, then automatically cuts them into regular image tiles and transmits the regular image tiles to the display terminal in an incremental manner. The display terminal software constructs a 3D digital earth based on quadtree LOD algorithm, and updates the terrain texture of the target range with the received high-definition orthographic image tiles, so as to realize real-time coverage monitoring of key areas. In this paper, the above work is verified by real aerial images, and the results prove the feasibility and effectiveness of the work. © 2020 ACM.

关键词： Antennas

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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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Active training sample selection and updating strategy for near-infrared model with an industrial application

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Chinese Journal of Chemical Engineering 2019年第11期27卷 2749-2758页

作者： Kaixun He Kai Wang Yayun Yan College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Training sample selection is widely accepted as an important step in developing a near-infrared(NIR) spectroscopic model. For industrial applications, the initial training dataset is usually selected empirically. This process is time-consuming, and updating the structure of the modeling dataset online is difficult. Considering the static structure of the modeling dataset, the performance of the established NIR model could be degraded in the online process. To cope with this issue, an active training sample selection and updating strategy is proposed in this work. The advantage of the proposed approach is that it can select suitable modeling samples automatically according to the process information. Moreover, it can adjust model coefficients in a timely manner and avoid arbitrary updating effectively. The effectiveness of the proposed method is validated by applying the method to an industrial gasoline blending process.

关键词： Near-infrared spectroscopy Chemical processes Process systems Soft sensor Gasoline blending

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