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Design and control of a p-xylene oxidation process

Chinese Journal of chemical Engineering 2015年第12期23卷 1935-1944页

作者：陶莉莉胡志华钱锋 College of Engineering Shanghai Second Polytechnic University Key laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

The p-xylene(PX) oxidation process is of great industrial importance because of the strong demand of the global polyester fiber.A steady-state model of the PX oxidation has been studied by many *** our previous work,a novel industrial p-xylene oxidation reactor model using the free radical mechanism based kinetics has been ***,the disturbances such as production rate change,feed composition variability and reactor temperature changes widely exist in the industry *** this paper,dynamic simulation of the PX oxidation reactor was designed by Aspen Dynamics and used to develop an effective plantwide control structure,which was capable of effectively handling the disturbances in the load and the temperature of the *** responses of the control structure to the disturbances were shown and served as the foundation of the smooth operation and advanced control strategy of this process in our future work.

关键词： p-Xylene oxidation Dynamic simulation Aspen Dynamics Process design and control

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Sampled-data consensus of nonlinear multi-agent systems with stochastic disturbances

Sampled-data consensus of nonlinear multi-agent systems with...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Biao Zhang Wangli He The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology

ISBN: (纸本)9781479917631

This paper investigates consensus of nonlinear multi-agent systems with stochastic disturbances. By sampling signals from the leader agent at discrete instants, leader-following consensus in the mean square is achieved based on the theory of Ito stochastic differential equations and Lyapunov-Krasovskii functional stability theory with a sufficient condition derived. Then two special cases: 1) the transmittal delay is very small, which can be approximately regards as zero;2) the interconnections of agents are undirected are discussed, respectively. Finally, an example is given to verify the effectiveness of the theoretical results.

关键词： Sampled-data consensus Multi-agent systems Stochastic disturbances

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Brief paper: controller dynamic linearisation-based model-free adaptive control framework for a class of non-linear system

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IET control Theory and Applications 2015年第7期9卷 1162-1172页

作者： Zhu, Yuanming Hou, Zhongsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China Advanced Control Systems Laboratory Beijing Jiaotong University Beijing China

Without the explicit process identification, the authors propose a model-free adaptive control framework for unknown plant by using the concept of equivalent dynamic linearisation controller. The controller has linear incremental structure and its local dynamics is equivalent to the ideal controller in theory. Hence, the problem of determining the structure of candidate controller is transformed to the problem of finding a sequence of local dynamic controllers to approximate the ideal controller. With the help of gradient information extracted from input and output (I/O) data of the plant, the optimal controller parameter sequence is generated by minimising a user-defined control criterion. This method gives a solution on how to determine the candidate controller structure. The controller design, parameter tuning and controller validation are based on I/O data of the plant. Hence, it could reduce the influence of internal disturbance or unmodelled dynamics. The effectiveness of the proposed method is illustrated by the simulation of a continuous polymerisation reaction process in a jacketed continuous stirred tank reactor system. Meanwhile, a simulation comparison is carried out to show the superiority of neural network data model in model-free adaptive control framework. © The Institution of Engineering and Technology 2015.

关键词： controllers

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An Observer-based Model Predictive control Strategy for Distributed Parameter System ∗

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IFAC-PapersOnLine 2015年第8期48卷 883-887页

作者： Meng Ling Wang Hongbo Shi Wen Yang East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Professes of the Ministry of Eduction Shanghai China

In this paper, an observer-based model predictive control (MPC) strategy is presented for distributed parameter systems (DPSs). First, principal component analysis (PCA) is used for dimension reduction by transforming the high-dimensional spatio-temporal data into a low-dimensional time domain. Then an observer is builded to estimate the low-dimensional temporal output using the real-time measurable spatiotemporal output. Finally, the MPC strategy is proposed based on the low-dimensional estimation models. Simulations demonstrate the accuracy and efficiency of the proposed methodologies.

关键词： Distributed parameter system model predictive control PCA time/space separation observer

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MOFs‐Based Heterogeneous Catalysts: New Opportunities for Energy‐Related CO2Conversion

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advanced Energy Materials 2018年第32期8卷

作者： Zhendong Lei Yuancheng Xue Wenqian Chen Wenhui Qiu Yong Zhang Satoshi Horike Liang Tang School of Environmental and Chemical Engineering Shanghai University Shanghai 200444 P. R. China NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 117583 Singapore Shanghai Institute of Applied Radiation Shanghai University 20 Chengzhong Road Shanghai 201800 P. R. China Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen 518055 Guangzhou P. R. China State Environmental Protection Key Laboratory of Integrated Surface Water‐Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen 518055 Guangzhou P. R. China Institute for Integrated Cell‐Material Sciences (WPI‐iCeMS) Institute for Advanced Study Kyoto University Yoshida Sakyo‐ku Kyoto 606‐8501 Japan

Metal–organic frameworks (MOFs) with high surface area and tunable chemical structures have attracted tremendous attention. Recently, the utilization of solar energy for CO 2 conversion to produce valuable chemicals or fuels has become extremely appealing. The interior of MOFs can be designed to have defects, heteroatoms and embedded nanoscale metal catalysts for the development of CO 2 conversion. In this review, the recent development of MOFs‐based catalysts for CO 2 conversion reactions, including photocatalysis and electrocatalysis are summarized. In particular, the preparation and mechanism of CO 2 conversion‐based MOFs are discussed. The examples are expected to provide deeper understanding in preparing highly active and stable MOFs‐based CO 2 conversion materials.

关键词： electrocatalysis energy products kinetics metal–organic frameworks (MOFs) photocatalysis

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Overview of KAGRA : Data transfer and management

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Progress of Theoretical and Experimental Physics 2023年第10期2023卷

作者： Akutsu, T Ando, M Arai, K Arai, Y Araki, S Araya, A Aritomi, N Asada, H Aso, Y Bae, S Bae, Y Baiotti, L Bajpai, R Barton, M A Cannon, K Cao, Z Capocasa, E Chan, M Chen, C Chen, K Chen, Y Chiang, C-Y Chu, H Chu, Y-K Eguchi, S Enomoto, Y Flaminio, R Fujii, Y Fujikawa, Y Fukunaga, M Fukushima, M Gao, D Ge, G Ha, S Hagiwara, A Haino, S Han, W-B Hasegawa, K Hattori, K Hayakawa, H Hayama, K Himemoto, Y Hiranuma, Y Hirata, N Hirose, E Hong, Z Hsieh, B Huang, G-Z Huang, H-Y Huang, P Huang, Y-C Huang, Y Hui, D C Y Ide, S Ikenoue, B Imam, S Inayoshi, K Inoue, Y Ioka, K Ito, K Itoh, Y Izumi, K Jeon, C Jin, H-B Jung, K Jung, P Kaihotsu, K Kajita, T Kakizaki, M Kamiizumi, M Kanda, N Kang, G Kawaguchi, K Kawai, N Kawasaki, T Kim, C Kim, J Kim, J C Kim, W S Kim, Y-M Kimura, N Kita, N Kitazawa, H Kobayashi, Y Kojima, Y Kokeyama, K Komori, K Kong, A K H Kotake, K Kozakai, C Kozu, R Kumar, R Kume, J Kuo, C Kuo, H-S Kuromiya, Y Kuroyanagi, S Kusayanagi, K Kwak, K Lee, H K Lee, H W Lee, R Leonardi, M Li, K L Lin, L C-C Lin, C-Y Lin, F-K Lin, F-L Lin, H L Liu, G C Luo, L-W Majorana, E Marchio, M Michimura, Y Mio, N Miyakawa, O Miyamoto, A Miyazaki, Y Miyo, K Miyoki, S Mori, Y Morisaki, S Moriwaki, Y Nagano, K Nagano, S Nakamura, K Nakano, H Nakano, M Nakashima, R Nakayama, Y Narikawa, T Naticchioni, L Negishi, R Quynh, L Nguyen Ni, W-T Nishizawa, A Nozaki, S Obuchi, Y Ogaki, W Oh, J J Oh, K Oh, S H Ohashi, M Ohashi, T Ohishi, N Ohkawa, M Ohta, H Okutani, Y Okutomi, K Oohara, K Ooi, C Oshino, S Otabe, S Pan, K Pang, H Parisi, A Park, J Arellano, F E Peña Pinto, I Sago, N Saito, S Saito, Y Sakai, K Sakai, Y Sakuno, Y Sasaki, Y Sato, S Sato, T Sawada, T Sekiguchi, T Sekiguchi, Y Shao, L Shibagaki, S Shimizu, R Shimoda, T Shimode, K Shinkai, H Shishido, T Shoda, A Somiya, K Son, E J Sotani, H Sugimoto, R Suresh, J Suzuki, T Tagoshi, H Takahashi, H Takahashi, R Takamori, A Takano, S Takeda, H Takeda, M Tanaka, H Tanaka, K Tanaka, T Tanioka, S Martin, E N Tapia San Telada, S Tomaru, T Tomigami, Y Tomura, T Travasso, F Trozzo, L Tsang, T Ts Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Universe (RESCEU) The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research (ICRR) KAGRA Observatory The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa City Chiba 277-8582 Japan Accelerator Laboratory High Energy Accelerator Research Organization (KEK) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo 113-0032 Japan Department of Mathematics and Physics Hirosaki University 3 Bunkyo-cho Hirosaki City Aomori 036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan (NAOJ) 238 Higashi-Mozumi Kamioka-cho Hida City Gifu 506-1205 Japan The Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information (KISTI) 245 Daehak-ro Yuseong-gu Daejeon 34141 Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 Beon-gil Yuseong-gu Daejeon 34047 Korea International College Osaka University 1-1 Machikaneyama-cho Toyonaka City Osaka 560-0043 Japan School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Department of Astronomy Beijing Normal University No. 19 Xinjiekou Street Beijing 100875 China Department of Applied Physics Fukuoka University 8-19-1 Nanakuma Jonan Fukuoka City Fukuoka 814-0180 Japan Department of Physics Tamkang University No. 151 Yingzhuan Rd. Danshui Dist. New Taipei City 25137 Taiwan Department of Physics and Institute of Astronomy Nation

KAGRA is a newly built gravitational wave observatory, a laser interferometer with a 3 km arm length, located in Kamioka, Gifu prefecture, Japan. In this article, we describe the KAGRA data management system, i.e., recording of data, transfer from the KAGRA experiment site to computing resources, as well as data distribution to tier sites, including international sites in Taiwan and Korea. The amount of KAGRA data exceeded 1.0 PiB and increased by about 1.5 TB per day during operation in 2020. Our system has succeeded in data management, and has achieved performance that can withstand observations after 2023, that is, a transfer rate of 20 MB s-1or more and file storage of sufficient capacity for petabyte class. We also discuss the sharing of data between the global gravitational-wave detector network with other experiments, namely LIGO and Virgo. The latency, which consists of calculation of calibrated strain data and transfer time within the global network, is very important from the view of multi-messenger astronomy using gravitational waves. Real-time calbrated data delivered from the KAGRA detector site and other detectors to our computing system arrive with about 4–15 seconds of latency. These latencies are sufficiently short compared to the time taken for gravitational wave event search computations. We also established a high-latency exchange of offline calibrated data that was aggregated with a better accuracy compared with real-time data.

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Modeling and optimization of feedstock allocation problem based on industrial cracking furnace system using an asynchronous updating differential evolution algorithm

Modeling and Optimization of feedstock allocation problem ba...

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第26届中国过程控制会议（CPCC2015）

作者： Lin Yue Feng Du WenLi Li JinLong Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

This paper introduces a practical optimization model of multiple cracking furnaces system with consideration of feedstock allocation. The goal of our work is to model this problem and to find the best allocation combination of feedstock to the cracking furnaces to maximize the profit of high-added-value production. Using artificial neural network(ANN) technique, the model can be formulated as a binary-integer nonlinear programming model. However, owing to the existence of integer variables and equality constraints, it's hard to be solved by traditional evolutionary ***, an asynchronous updating differential algorithm(AUDE) is proposed in this paper to better handle discrete variables. Finally, to test the effectiveness and robustness of the proposed algorithm, simulation results on benchmark problems and practical application case shows that the proposed algorithm is robust and capable of getting satisfactory optimization results when compared with the state-of-the art evolution algorithm.

关键词： Differential evolution feedstock allocation ethylene cracking furnace modeling asynchronous updating

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Batch Process Monitoring with Higher Order Partial Least Squares

Batch Process Monitoring with Higher Order Partial Least Squ...

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第26届中国过程控制会议（CPCC2015）

作者： Nan Nan Jianping Wang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Batch process data are essentially *** existing methods on batch process monitoring such as multiway partial least squares(MPLS)and multiway principal component analysis(MPCA)are based on unfolding procedure which represents three-way batch data as a vector in high-dimensional *** a result of destroying data structures,these methods may lead to information *** this article,batch data are considered as a third order tensor and HOPLS is introduced to deal with the data directly instead of performing unfolding procedure.A HOPLS-based online monitoring approach is developed and two new statistics:HO-SPE and HO-T2are constructed for fault detection and *** effectiveness of this approach is illustrated by a benchmark fed-batch penicillin fermentation *** comparison of monitoring results shows that the proposed approach is superior to MPLS,and it can achieve accurate detection of various types of process faults occurring in the batch operation.

关键词： higher order partial least squares multiway partial least squares batch process monitoring fault detection and diagnosis

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Robust optimization for a Multi-Product Integrated Problem of Planning and Scheduling under Products Uncertainty

Robust Optimization for a Multi-Product Integrated Problem o...

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作者： Mengwen Chen Cuiwen Cao Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

This paper presents robust optimization models for a multi-product integrated problem of planning and scheduling (based on the work of Terrazas-Moreno & Grossmann (2011) [1]) under products prices uncertainty. With the objective of maximizing the total profit in planning time horizon, the planning section determines the amount of each product, each product distributed to each market, and the inventory level in each manufacturing site during each scheduling time period;the scheduling section determines the products sequence, start and end time of each product running in each production site during each scheduling time period. The uncertainty sets used in robust optimization model are box set, ellipsoidal set, polyhedral set, combined box and ellipsoidal set, combined box and polyhedral set, combined box, ellipsoidal and polyhedral set. The genetic algorithm is utilized to solve the robust optimization models. Case studies show that the solutions obtained from robust optimization models are better than the solutions obtained from the original integrated planning and scheduling when the prices are changed.

关键词： Uncertainty,Robust optimization,Integrated Problem of Planning and Scheduling,GA

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SSVEP Recognition using Multivariate Linear Regression for Brain Computer Interface

SSVEP Recognition using Multivariate Linear Regression for B...

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2015 IEEE International Conference on Computer and Communications(ICCC 2015)

作者： Haiqiang Wang Yu Zhang Jing Jin Xingyu Wang The Key Laboratory for Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

Until now, the canonical correlation analysis(CCA)-based method has been most widely applied to steady-state visual evoked potential(SSVEP). Artificial sine-cosine signals are used as the original references in the CCA method, which could hardly reflect the real SSVEP features buried in electroencephalogram(EEG). In this study, we use principal component analysis(PCA) to extract EEG features multivariate linear regression(MLR) is implemented on EEG and the specific sample labels. Experimental results show that the proposed MLR method outperformed other two competing methods for SSVEP recognition, especially in short time window.

关键词： Brain-Computer Interface(BCI) Canonical Correlation Analysis(CCA) Electroencephalogram(EEG) Steady-State Visual Evoked Potential(SSVEP) principal component analysis(PCA) Multivariate Linear Regression(MLR)

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