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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Liang, Haili Zhou, Zhao Zhang, Fan Peng, Chen Wang, Yu-Long Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mathematics Southeast University Nanjing China

ISBN: (纸本)9781538666173

In this paper, we study two-player evolutionary prisoner's dilemma on regular graphs and identify the stochastically stable equilibria for infinite populations. We consider four different update rules: Birth-death(BD), death-birth(DB), imitation(IM) and pairwise comparison(PC). With the same values of cost and benefit of cooperation, we show that there is a unique stochastically stable equilibrium for evolutionary prisoner's dilemma on regular graphs. If the benefit-to-cost ratio is larger than k + 2 (k is the degree of a regular graph), the networked game has a higher fraction of cooperators than that for a well-mixed population. Under certain conditions, the lower graph connectivity can lead to the emergence of more cooperators. Besides theoretical analysis, we demonstrate our results through numerical computations and simulations as well. © 2018 IEEE.

关键词： Stochastic systems

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Oxygen diffusion in a spherical cell subject to nonlinear Michaelis-Menten kinetics： Mathematical analysis by two exact methods

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International Journal of Biomathematics 2017年第2期10卷 171-186页

作者： Hooman Fatoorehchi Hossein Abolghasemi Laura Villafuerte Reza Zarghami Advanced Control Research LaboratorySchool of Chemical Engineering College of Engineering University of Tehran Tehran Iran Center for Separation Processes Modeling and Nano-Computations School of Chemical Engineering College of Engineering University of Tehran Tehran *** Iran Centro de Estudios en Fisica y Matemdticas Bdsicas y Aplicadas Universidad Autonoma de Chiapas Ciudad Universitaria Tuxtla Gutierrez Chiapas Mexico Multiphase Systems Research Laboratory School of Chemical Engineering College of Engineering University of Tehran Tehran Iran

A nonlinear model representing oxygen diffusion accompanied by the Michaelis-Menten consumption kinetics inside a spherical cell is solved analytically by the differential transform method （DTM） and the modified Adomian decomposition method （MADM）. A perfect agreement between the literature data and the results from the proposed

关键词： Cellular oxygen transfer mathematical modeling differential transformmethod modified Adomian decomposition method.

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Antifungal effects of BiOBr nanosheets carrying surfactant cetyltrimethylammonium bromide

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The Journal of Biomedical Research 2018年第5期32卷 380-388页

作者： Meiqing Sun Zhanlin Ding Hong Wang Guangping Yu Bingzhi Li Mingchun Li Mengmeng Zhen Key Laboratory of Systems Bioengineering (Ministry of Education) School of Chemical Engineering and Technology Tianjin University Tianjin 300072 China Wuqing District Center for Disease Control and Prevention Tianjin 301700 China Ministry of Education Key Laboratory of Molecular Microbiology and Technology College of Life Science Nankai University Tianjin 300071 China Tianjin Key Laboratory of Advanced Functional Porous Materials and Center for Electron Microscopy Institute for New Energy Materials & Low-Carbon Technologies School of Materials Science and Engineering Tianjin University of Technology Tianjin 300071 China

BiOBr nanosheets are important photocatalytic nanomaterials. However, their biological effects remain to be explored. In this study, we investigated the antifungal effect of BiOBr nanosheets on Candida albicans. Strikingly,the nanosheets strongly inhibited the growth of C. albicans [IC50=（96±4.7） mg/L],hyphal development and biofilm formation. Compareed to the antifungal effect of the cationic surfactant cetyltrimethylammonium bromide, the inhibitory effect of the nanosheets on fungal pathogen was attributed to cetyltrimethylammonium bromide adsorbed by the nanosheets. Thermal gravity analysis and cetyltrimethylammonium bromide release experiment indicated that only 0.42% cetyltrimethylammonium bromide on BiOBr nanosheets was released. Taken together, this study uncovers the contribution of surfactant released from the nanosheets to their antifungal activity.

关键词： BiOBr nanosheets Candida albicans antifungal activity cationic surfactant

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Interval zonotopic fault estimation for uncertain LPV descriptor systems

Interval zonotopic fault estimation for uncertain LPV descri...

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Conference on control and Fault-Tolerant systems (SysTol)

作者： Meng Zhou Chang Wang Zhengcai Cao Ye Wang Vicenç Puig College of Information Science & Technology Beijing University of Chemical Technology Beijing China Beijing Aerospace Automation Research Institute Beijing China College of Automation Harbin Engineering University Harbin China Advanced Control Systems Research Group at Institut de Robòtica i Informàtica Industrial Universitat Politècnica de Catalunya-BarcelonaTech Barcelona Spain

ISBN: (纸本)9781728103815

This work investigates the issue of interval fault estimation based on a zonotopic technique for discrete-time LPV systems with peak bounded uncertainties. First, taking the faults as an auxiliary state vector, an augmented descriptor system is generated. Then, a robust observer considering L ∞ performance is designed for it. The design conditions of the observer are given it terms of LMIs. Next, the bounds of the augmented states estimation are generated based on zonotopes that rigorously consider the unknown disturbance bounds. Finally, simulation results illustrate the performance of the proposed interval fault estimation method.

关键词： Observers Uncertainty control systems Fault detection Electrical fault detection

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Correlations between background radiation inside a multilayer interleaving structure, geomagnetic activity, and cosmic radiation: A fourth order cumulant-based correlation analysis

arXiv

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arXiv 2020年

作者： Iglesias-Martínez, M.E. Castro-Palacio, Juan Carlos Scholkmann, F. Milián-Sánchez, V. de Córdoba, P. Fernández Mocholí-Salcedo, A. Mocholí, F. Kolombet, V.A. Panchelyuga, V.A. Verdú, G. Grupo de Modelización Interdisciplinar InterTech Instituto Universitario de Matemática Pura y Aplicada Universitat Politècnica de València Camino de Vera s/n València Spain Research Office for Complex Physical and Biological Systems Zurich Switzerland Institute for Industrial Radiophysical and Environmental Safety Universitat Politècnica de València Camino de Vera s/n València Spain Traffic Control Systems Group ITACA Institute Universitat Politècnica de València Camino de Vera s/n València Spain Institute of Theoretical and Experimental Biophysics Russian Academy of Science Pushchino Russia Chemical and Nuclear Engineering Department Universitat Politécnica de València Camino de Vera s/n València Spain

In this work, we analyzed time-series of background radiation inside a multilayer interleaving structure, geomagnetic activity and cosmic-ray activity using the Pearson correlation coefficient and a new correlation measure based on the one-dimensional component of the fourth order cumulant. The new method is proposed based on the fact that the cumulant of a random process is zero if it is of Gaussian nature. The results show that this methodology is useful for detecting correlations between the analyzed variables. Copyright © 2020, The Authors. All rights reserved.

关键词： Multilayers

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Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control

arXiv

引用

arXiv 2018年

作者： Li, Wenqing Zhao, Chunhui Huang, Biao State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G-2V4 Canada

For large-scale industrial processes under closed-loop control, process dynamics directly resulting from control action are typical characteristics and may show different behaviors between real faults and normal changes of operating conditions. However, conventional distributed monitoring approaches do not consider the closed-loop control mechanism and only explore static characteristics, which thus are incapable of distinguishing between real process faults and nominal changes of operating conditions, leading to unnecessary alarms. In this regard, this paper proposes a distributed monitoring method for closed-loop industrial processes by concurrently exploring static and dynamic characteristics. First, the large-scale closed-loop process is decomposed into several subsystems by developing a sparse slow feature analysis (SSFA) algorithm which capture changes of both static and dynamic information. Second, distributed models are developed to separately capture static and dynamic characteristics from the local and global aspects. Based on the distributed monitoring system, a two-level monitoring strategy is proposed to check different influences on process characteristics resulting from changes of the operating conditions and control action, and thus the two changes can be well distinguished from each other. Case studies are conducted based on both benchmark data and real industrial process data to illustrate the effectiveness of the proposed method. Copyright © 2018, The Authors. All rights reserved.

关键词： Process monitoring

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$H_{\infty}$ Fault Estimation for 2-D Linear Discrete Time-Varying systems Based on Krein Space Method

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IEEE Transactions on systems, Man, and Cybernetics: systems 2018年第12期48卷 2070-2079页

作者： Dong Zhao Youqing Wang Yueyang Li Steven X. Ding College of Information Science and Technology Beijing University of Chemical Technology Beijing China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China School of Electrical Engineering University of Jinan Jinan China Institute for Automatic Control and Complex Systems (AKS) University of Duisburg–Essen Duisburg Germany

This paper addresses the finite horizon H ∞ fault estimation problem for 2-D linear discrete time-varying systems with bounded unknown input and measurement noise. The main contribution of this paper is the H ∞ fault estimator for 2-D systems with a necessary and sufficient existence condition. By introducing a partially equivalent stochastic dynamic system in Krein space, the necessary and sufficient condition for the existence of the H ∞ fault estimator is derived based on innovation analysis and projection formula in Krein space. Then, the solution of the estimator is achieved by means of a Riccati-like difference equation for 2-D systems. Finally, a thermal process example is given to demonstrate the effectiveness of the proposed method.

关键词： Estimation Time-varying systems Boundary conditions Technological innovation Difference equations Symmetric matrices Hafnium

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Designing neural networks using novel water wave optimization based memetic algorithm 14

Designing neural networks using novel water wave optimizatio...

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14th International Conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2018

作者： Liu, Ao Sun, Weiliang Yue, Xiaofeng Li, Weigang Zhao, Yuntao Liu, Bo School of Management Wuhan University of Science and Technology Wuhan430065 China Center for Service Science and Engineering Wuhan University of Science and Technology Wuhan430065 China School of Chemical Engineering and Technology Tianjin University Tianjin300350 China Natl. Key Lab. of Science and Technology on Aerospace Intelligence Control School of Automation Huazhong University of Science and Technology Wuhan430074 China School of Information Science and Engineering Wuhan University of Science and Technology Wuhan430081 China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9781538680971

Searching neural networks' (NN) optimal parameters can be seen as a multi-modal optimization problem. This paper proposes a memetic water wave optimization algorithm (WWOMA) to determine the optimal weights of NN. In the proposed WWO-based MA (WWOMA), we employ WWO to perform global search by both individual improvement and population co-evolution, and then employ several local search components to enhance its local refinement ability. Furthermore, a Meta-Lamarckian learning strategy is utilized to choose a proper local refinement component to concentrate computational efforts on more promising solutions. We carry out numerical experiments on six well-known NN designing benchmark problems, the empirical results demonstrate both the feasibility and effectiveness by applying WWOMA to design NN. © 2018 IEEE.

关键词： Water waves

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Input optics systems of the KAGRA detector during O3GK (vol 2023, 023F01, 2023)

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PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS 2023年第5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-I Chu, H. Chu, Y-K Eguchi, S. Enomoto, Y. Flaminio, R. Fujii, Y. Fujikawa, Y. Fukunaga, M. Fukushima, M. Furuhata, T. Gao, D. Ge, G-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-H Huang, G-Z Huang, H-Y Huang, P. Huang, Y-C Huang, Y-J 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. Kanbara, S. Kanda, N. Kang, G. Kataoka, Y. Kawaguchi, K. Kawai, N. Kawasaki, T. Kim, C. Kim, J. Kim, J. C. Kim, Ws Kim, Y-M Kimura, N. Kita, N. Kitazawa, H. 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, S. H. Ohashi, M. Ohishi, N. Ohkawa, M. Ohta, H. Okutani, Y. Okutomi, K. Oohara, K. Ooi, C. Oshino, S. Otabe, S. Pan, K-C Pang, H. Parisi, A. Park, J. Arellano, F. E. Pena Pinto, I. Sago, N. Saito, S. Saito, Y. Sakai, K. Sakai, Y. Sakuno, 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. Suzuki, T. Tagoshi, H. Takahashi, H Gravitational Wave Science Project National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan 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 The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research 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 Graduate School of Science and Technology Hirosaki University 3 Bunkyo-cho Hirosaki Aomori 036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan 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 245 Daehak-ro Yuseong-gu Daejeon 34141 Republic of Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 Beon-gil Yuseong-gu Daejeon 34047 Republic of 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 Xinjiekouwai Street 19 Haidian District 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 Road Danshui Dist. New Taipei City 25137 Taiwan Department of Physics

KAGRA, the underground and cryogenic gravitational-wave detector, was operated for its solo observation from February 25 to March 10, 2020, and its first joint observation with the GEO 600 detector from April 7 to April 21, 2020 (O3GK). This study presents an overview of the input optics systems of the KAGRA detector, which consist of various optical systems, such as a laser source, its intensity and frequency stabilization systems, modulators, a Faraday isolator, mode-matching telescopes, and a high-power beam dump. These optics were successfully delivered to the KAGRA interferometer and operated stably during the observations. The laser frequency noise was observed to limit the detector sensitivity above a few kilohertz, whereas the laser intensity did not significantly limit the detector sensitivity.

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Concepts for safety in modular plants

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Chemie Ingenieur Technik 2020年第9期92卷

作者： A. Klose S. Szmais C. Bramsiepe N. Krink W. Welscher L. Urbas TU Dresden Process Control Systems & Process Systems Engineering Helmholtzstr. 10 01069 Dresden Germany Merck KGaA Performance Materials Frankfurter Str. 250 64293 Darmstadt Germany Evonik Technology & Infrastructure GmbH Chemical Reaction & Polymer Technology Paul-Baumann-Str. 1 45772 Marl Germany X-Visual Technologies GmbH James-Franck-Str. 15 12489 Berlin Germany

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