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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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Distillation Sequence optimization Considering Extractive Distillation under Multiple Conditions: A Methanol to Propylene Case Study

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China Petroleum processing & Petrochemical Technology 2019年第4期21卷 88-93页

作者： Yu Jing Qian Feng Wang Jiming Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237 Coteva AgriscienceTM Shanghai 201203 School of Chemical Engineering East China University of Science and TechnologyShanghai 200237

This study provides insights into the distillation sequence optimization of refinery system in a methanol to propylene plant with extractive distillation under multiple conditions. The simulated annealing algorithm(SA) with relative cost function was used to solve a meaningful optimization problem. It was observed that different conditions had differed on the flowsheet. Case study shows the effectiveness of the proposed method.

关键词： distillation sequence optimization simulated annealing algorithm MATLAB multiple conditions

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Distributed Energy Seheduling of Islanded Microgrid Based on Potential Game

Distributed Energy Seheduling of Islanded Microgrid Based on...

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Chinese Automation Congress (CAC)

作者： Lei Chen Yugang Niu Tinggang Jia The Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Shanghai China Shanghai Electric Automation Group Shanghai China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

Microgrid is an advanced application of distributed renewable energy utilization. With the development of energy Internet technology, microgrid is characterized by strong decentralization and high intelligence. The operation optimization of microgrid requires higher individual autonomy and rational ability, and the traditional centralized optimization is difficult to meet this development trend. In this paper, in order to better reflect the high autonomy of microgrid energy management, a distributed optimization based on potential game is proposed by comprehensively considering multiple independent individuals in the microgrid. Under this strategy, each individual makes decisions with the goal of maximizing their own profits, and completes the iterative solution of the strategy through communication with each other. Finally, a simulation example of islanded microgrid is used to verify the results, which shows that the individual autonomy and intelligence of the microgrid were improved, and the feasibility and effectiveness of the strategy are verified.

关键词： Microgrids Games optimization Optical wavelength conversion Oils Market research Energy management

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Exergy-based performance analysis for biojet fuel pathways in Brazil 32

Exergy-based performance analysis for biojet fuel pathways i...

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32nd International Conference on Efficiency, Cost, optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2019

作者： Silva Ortiz, Pablo A. Filho, Rubens Maciel Osseweijer, Patricia Posada, John School of Chemical Engineering Laboratory of Optimization Design and Advanced Process ControlLOPCA University of Campinas Brazil Faculty of Applied Sciences Department of Biotechnology Delft University of Technology Netherlands

ISBN: (纸本)9788361506515

Increasing efforts in developing sustainable and economically viable technologies to produce transportation fuels have been made in the last decades. Particularly, the aviation industry has conceived that biojet fuels are vital to decrease 50% of the greenhouse gas emissions by 2050 and to achieve carbon-neutral growth by 2020. Thus, the goal of this study is to rank self-sufficient biorefineries for biojet fuel production in Brazil bases on an exergy-based performance analysis aiming to identify the processes irreversibilities. The production capacity assumed for this analysis covers 10% of the projected fuel demand by 2020 in São Paulo (Guarulhos) and Rio de Janeiro (Galeão) airports and considers that the biojet fuel produced is suitable for blending with fossil jet up to 50%. In this context, the base capacity analysed was 210 kton jet/year considering sugarcane (SC) and SC straw as feedstocks, largely available in Brazil. Hence, 24 scenarios were compared for lignocellulosic and lignin valorization processes. These technological pathways covers eight pre-treatment processes such as dilute acid (DA), dilute acid + alkaline treatment (DA-A), steam explosion (SE), steam explosion + alkaline treatment (SE-A), organosolv (O), wet oxidation (WO), liquid hot water (LHW) and liquid hot water + alkaline treatment (LHW-A), followed by enzymatic hydrolysis. Furthermore, three thermochemical processes for the direct conversion of bagasse and lignin upgrade to renewable jet fuel or electricity were considered (Fast pyrolysis, Gasification Fischer-Tropsch and Cogeneration). The exergy assessment evidenced that combined pretreatment processes with the alkaline treatment (DA-A, SE-A, LHW-A) have a better global exergetic performance than the lignocellulosic pre-treatments carried out standalone (DA, SE, O, WO, and LHW). In addition, the use of fast-pyrolysis as a technology for the lignin residues presented the higher performance for all the scenarios. It is shown that the CO2

关键词： Lignin

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Tio2 Coated Sio2 Core-Shell Stationary Phase with Uniform and Tunable Tio2 Thickness for High Performance Liquid Chromatography Separation

SSRN

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SSRN 2023年

作者： Wang, Dian Wan, Xiang Wang, Jiafei Mangelings, Debby Sun, Yuanshe Li, Tong Xu, Qin Xie, Fazhi Li, Weihua Qu, Qishu Key Laboratory of Functional Molecule Design and Interface Process Anhui Province Engineering Laboratory of Advanced Building Materials School of Materials Science and Chemical Engineering Anhui Jianzhu University Hefei230601 China Department of Analytical Chemistry Applied Chemometrics and Molecular Modelling Vrije Universiteit Brussel Laarbeeklaan 103 BrusselsB-1090 Belgium Dalian Elite Analytical Instruments Co. Ltd. Dalian116023 China College of Chemistry and Chemical Engineering Yangzhou University Yangzhou225002 China Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse School of Environment and Energy Engineering Anhui Jianzhu University Hefei230601 China

In this work, SiO2 core-shell spheres with a dendritic pore structure were used as chromatographic support and TiO2 was coated into the pores of the SiO2@dSiO2 shell using tetrabutyl orthotitanate (TBOT) as the titanium source. By simply prolonging the reaction time, a TiO2 layer with a uniform and controllable thickness was obtained on the surface of SiO2 core-shell spheres by Ostwald ripening. The thickness of the TiO2 layer can be achieved by either controlling the reaction time or controlling the amount of TBOT. When the concentration of TBOT was 0.06 mol L-1, the thickness of the TiO2 layer can be tuned from 15 to about 44 nm by changing the reaction time. When the concentration of TBOT was 0.08 mol L-1, the thickness of the TiO2 layer can be tuned from 21 to about 71 nm by changing the reaction time. C18-derived core-shell spheres with a TiO2 layer thicknesses of 40 nm (C18-SST-0.5-60) and 70 nm (C18-SST-0.7-30) were used as packings to evaluate the effect of TiO2 layer thickness on the chromatographic separation performance. The separation performance of C18-SST-0.5-60 was better than that of C18-SST-0.7-30. The separation efficiency of C18-SST-0.5-60 and C18-SST-0.7-30 for fluorene was 115112 plates m-1 and 83189 plates m-1, respectively. The columns were also used for the separation of basic, acidic and nucleoside mixtures. Both TiO2-coated core-shell packings showed good peak symmetry for basic samples, with peak asymmetry factors below 1.11. The relative standard deviations of the retention time of polycyclic aromatic hydrocarbons and anilines for intraday, interday and column-to-column variation were all lower than 6%. The results demonstrate that the TiO2 based stationary phase possesses great potential for high performance liquid chromatographic separation. © 2023, The Authors. All rights reserved.

关键词： Silica

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Time-delay assisted mechanism and adaptive LSTM hybrid train braking model of heavy haul trains

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control Engineering Practice 2025年 163卷

作者： Qiang Liu Kexuan Xu Yating Fu Jiang Liu Ling Liu State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University) Shenyang 110819 China Key Laboratory of Advanced Control and Optimization of Jiangxi Province Nanchang 330013 China School of Electrical and Automation Engineering East China Jiaotong University Nanchang 330013 China Frontiers Science Center for Smart High-speed Railway System Beijing 100044 China School of Electronic and Information Engineering Beijing Jiaotong University Beijing 100044 China Beijing National Railway Research & Design Institute of Signal Communication Group Company Beijing 100070 China

The train braking model (TBM) that describes the dynamic relations of operation speed, mileage, and control force is essential for achieving stable operation and precise stopping of heavy haul trains (HHTs). However, it is difficult to establish the TBM of HHTs due to complex characteristics: (i) the long body and air braking process of the HHTs may lead to unexpected time-delays of control force; and (ii) there are significant unmodeled dynamics caused by rough tracks and external poor environment. Traditional TBM does not take into account the unmodeled dynamics and time-delays caused by air transmission during braking. To address these issues, this study proposes a data mechanism hybrid modeling strategy, which incorporates a braking time-delay assisted mechanism model and an adaptive long and short-term memory (LSTM) model. A new Bayesian optimization based time-delay estimation method is first proposed to determine unknown time-delays of each carriage and the estimated time-delays are incorporated to generate the multi-point-mass kinetic mechanism model. Moreover, the error of the mechanism-driven model is adaptively compensated by a sliding window LSTM model to conduct the unmodeled dynamics. The effectiveness of the proposed method is demonstrated using the field data.

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A federated data-driven evolutionary algorithm

arXiv

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arXiv 2021年

作者： Xu, Jinjin Jin, Yaochu Du, Wenli Gu, Sai Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Computer Science University of Surrey GuildfordGU2 7XH United Kingdom Department of Chemical and Process Engineering University of Surrey GuildfordGU27XH United Kingdom

Data-driven evolutionary optimization has witnessed great success in solving complex real-world optimization problems. However, existing data-driven optimization algorithms require that all data are centrally stored, which is not always practical and may be vulnerable to privacy leakage and security threats if the data must be collected from different devices. To address the above issue, this paper proposes a federated data-driven evolutionary optimization framework that is able to perform data driven optimization when the data is distributed on multiple devices. On the basis of federated learning, a sorted model aggregation method is developed for aggregating local surrogates based on radial-basis-function networks. In addition, a federated surrogate management strategy is suggested by designing an acquisition function that takes into account the information of both the global and local surrogate models. Empirical studies on a set of widely used benchmark functions in the presence of various data distributions demonstrate the effectiveness of the proposed framework. © 2021, CC BY.

关键词： optimization

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Finite-time Sliding Mode control Under Dynamic Event-triggered Scheme ⁎

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IFAC-PapersOnLine 2020年第2期53卷 5069-5074页

作者： Jiarui Li Yugang Niu Bei Chen The Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education and The Shanghai Institute of Intelligent Science and Technology (Tongji University) Shanghai China The School of Electric and Electronic Engineering Shanghai University of Engineering Science Shanghai 201620 China

In this work, we investigate the finite-time boundedness (FTB) problem for a class of continuous-time uncertain systems via sliding mode control (SMC) method. A dynamic event-triggered scheme is introduced to determine whether the measurement output will be transmitted. And then, a state observer is designed by means of the transmitted output information, based on which a sliding surface in the estimation space is construct. It is shown that the corresponding SMC law can drive the system trajectories onto the specified sliding surface in a finite (possibly short) time. Meanwhile, a partitioning strategy is introduced to analyze the FTB over both reaching phase and the sliding motion, respectively. Finally, a numerical simulation is given.

关键词： Sliding mode control finite-time boundedness event-triggered control external disturbance partitioning strategy

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Switching control of Singularly Perturbed Uncertain Systems using Finite Frequency Strategy

Switching Control of Singularly Perturbed Uncertain Systems ...

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Asian control Conference

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

ISBN: (纸本)9781728102634

Based on the switching strategy, this paper presents an finite frequency formulation for the robust stabilization of singularly perturbed uncertain systems. An uncertain system is modeled as a parallel connection of a nominal system and an error system represented in the form of a linear parameter-varying system. A family of dynamic output feedback controllers are designed to enhance the robustness of the error system against finite frequency uncertainties over the operational region. A hysteresis switching is proposed to coordinate the candidate controllers. The proposed scheme is applied in the longitudinal control of an F16 aircraft to verify its effectiveness and merits.

关键词： Switches Frequency control Symmetric matrices Uncertain systems Uncertainty Actuators

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Masked GAN for unsupervised depth and pose prediction with scale consistency

arXiv

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arXiv 2020年

作者： Zhao, Chaoqiang Yen, Gary G. Sun, Qiyu Zhang, Chongzhen Tang, Yang The Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China The School of Electrical and Computer Engineering Oklahoma State University StillwaterOK74075 United States

Previous work has shown that adversarial learning can be used for unsupervised monocular depth and visual odometry (VO) estimation, in which the adversarial loss and the geometric image reconstruction loss are utilized as the mainly supervisory signals to train the whole unsupervised framework. However, the performance of the adversarial framework and image reconstruction is usually limited by occlusions and the visual field changes between frames. This paper proposes a masked generative adversarial network (GAN) for unsupervised monocular depth and ego-motion estimation. The MaskNet and Boolean mask scheme are designed in this framework to eliminate the effects of occlusions and impacts of visual field changes on the reconstruction loss and adversarial loss, respectively. Furthermore, we also consider the scale consistency of our pose network by utilizing a new scale-consistency loss, and therefore, our pose network is capable of providing the full camera trajectory over a long monocular sequence. Extensive experiments on the KITTI dataset show that each component proposed in this paper contributes to the performance, and both our depth and trajectory predictions achieve competitive performance on the KITTI and Make3D datasets. Copyright © 2020, The Authors. All rights reserved.

关键词： Generative adversarial networks

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