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Cultivation of three microalgae strains under mixotrophic conditions for biodiesel production

Chemical engineering Transactions 2016年 50卷 409-414页

作者： Rios, Luisa F. Da Silva Soares, Carla Tasić, Marija B. Maciel, Maria R. Wolf Filho, Rubens Maciel University of Campinas Chemical Engineering Faculty Laboratory of Optimization Design and Advanced Process Control-Bioen Division Av. Albert Einstein 500 Campinas SP Brazil Faculty of Technology University of Niš Bulevar oslobodjenja 124 Leskovac16000 Serbia

ISBN: (纸本)9788895608419

Microalgal biomass have a potential to be used as feedstock for biodiesel production because of high photosynthetic rates, high biomass production, faster growth in comparison to traditional feedstocks and to not be competitive with food production. In this paper, the growth and lipid content of three microalgae strains, namely Chorella vulgaris, Desmodesmus sp. and Desmodesmus brasiliensis, were studied during 9 days of mixotrophic cultivation. The laboratory scale experiments were carried out in BG-11 media enriched with 10 g/L glucose at initial medium pH of 7.5, temperature of 26 ± 4 °C and light flux of 62 μE m-2 s-1. The highest biomass concentration of 3.82 mg/mL was found in the Desmodesmus brasiliensis, followed with 3.64 mg/mL of Desmodesmus sp. and 3.32 mg/mL of Chorella vulgaris strain. However, the Desmodesmus brasiliensis had the lowest lipid content of 6%, followed with 13.2% of Chorella vulgaris, whereas the Desmodesmus sp. strain produced the highest lipids (19.45%). Copyright © 2016, AIDIC Servizi S.r.l.,.

关键词： Feedstocks

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Biosensors: Boron Doped ZIF-67@Graphene Derived Carbon Electrocatalyst for Highly Efficient Enzyme-Free Hydrogen Peroxide Biosensor (Adv. Mater. Technol. 12/2017)

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Advanced Materials Technologies 2017年第12期2卷

作者： Zehui Li Wenbo Wang Hongbin Cao Qiang Zhang Xinyuan Zhou Dongbin Wang Yaling Wang Shuangshuang Zhang Guangjin Zhang Chenming Liu Yi Zhang Rongji Liu Jingkun Jiang Beijing Engineering Research Center of Process Pollution Control Division of Environmental Technology and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing 100049 P. R. China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 P. R. China University of Chinese Academy of Sciences Beijing 100049 P. R. China Institute of Inorganic Chemistry I Ulm University Ulm 89081 Germany

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A Geometric Extension Design for Second-Order Nonlinear Agents Formation Surrounding a Sphere

A Geometric Extension Design for Second-Order Nonlinear Agen...

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第28届中国控制与决策会议

作者： Yang-Yang Chen Kai-Xuan Wang Ya Zhang Cheng-Lin Liu Qin Wang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University Chien-Shiung Wu College Southeast University Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Institute of AutomationJiangnan University College of information engineering Yangzhou University

ISBN: (纸本)9781467397155

This article deals with the problem of driving a family of second-order nonlinear agents to land on a sphere and formation tracking a set of given orbits on the sphere.A novel geometric extension called the concentric compression method is proposed to give a solution to spheral landing and then combines with the control of spherical meridian and parallel to achieve formation motion along given orbits on the *** asymptotic stability of system is proved by Lyapunov-based method when the communication topology is *** effectiveness of the analytical result is verified by a numerical simulation.

关键词： Formation tracking Sphere landing Geometric Extension Second-Order Nonlinear Agents

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Unit-level modelling for KPI of batch hot strip mill process using dynamic partial least squares

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IFAC-PapersOnLine 2015年第28期48卷 1005-1010页

作者： Zhang, Kai Shardt, Yuri A. W. Chen, Zhiwen Ding, Steven X. Peng, Kaixiang Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarckstrasse 81 BB Duisburg47057 Germany Key Laboratory for Advanced Control of Iron and Steel Process School of Automation and Electrical Engineering University of Science and Technology of Beijing Beijing100083 China

This paper proposes two different approaches to the problem of modelling the key performance indicators (KPIs) in a hot strip mill process (HSMP). The first approach takes into consideration the inherent dynamics of the process and develops a nonlinear iterative dynamic partial least squares (PLS) model. The second approach takes into consideration the multibatch property of HSMP to develop an appropriate multibatch modelling framework. Both approaches can be integrated into the dynamic model framework. The proposed framework is examined using industrial data obtained from a steel plant, where it provides a decent model for this process. However, there exists the potential for improvements including dealing with interbatch variability. © 2015, IF AC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Strip mills Benchmarking Least squares approximations Steelmaking Strip metal Waste disposal Hot strip mills Industrial datum Key performance indicators Model framework Modelling framework Multibatch Partial least square (PLS) Partial least squares models

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The Marine Biodiversity Observation Network Plankton Workshops: Plankton Ecosystem Function, Biodiversity, and Forecasting—Research Requirements and Applications

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Limnology and Oceanography Bulletin 2022年第1期31卷

作者： Maria Grigoratou Enrique Montes Anthony J. Richardson Jason D. Everett Esteban Acevedo-Trejos Clarissa Anderson Bingzhang Chen Tamar Guy-Haim Jana Hinners Christian Lindemann Tatiane Martins Garcia Klas O. Möller Fanny M. Monteiro Aimee R. Neeley Todd D. O'Brien Artur P. Palacz Alex J. Poulton A. E. Friederike Prowe Áurea E. Rodríguez-Santiago Cécile S. Rousseaux Jeffrey Runge Juan F. Saad Ioulia Santi Rowena Stern Alice Soccodato Selina Våge Meike Vogt Soultana Zervoudaki Frank E. Muller-Karger Gulf of Maine Research Institute Portland ME USA Ocean Chemistry & Ecosystems Division Atlantic Oceanographic and Meteorological Laboratory National Oceanic and Atmospheric Administration Miami FL USA School of Mathematics and Physics University of Queensland Brisbane QLD Australia CSIRO Oceans and Atmosphere Queensland Biosciences Precinct St. Lucia QLD Australia Centre for Marine Science and Innovation School of Biological Earth and Environmental Sciences University of New South Wales Sydney NSW Australia Earth Surface Process Modelling German Research Centre for Geosciences (GFZ) Potsdam Germany Scripps Institution of Oceanography La Jolla CA USA Department of Mathematics and Statistics University of Strathclyde Glasgow UK Hong Kong Branch of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) The Hong Kong University of Science and Technology Clear Water Bay Hong Kong China National Institute of Oceanography Israel Oceanographic and Limnological Research Haifa Israel Helmholtz-Zentrum Hereon Geesthacht Germany Department of Biological Sciences University of Bergen Bergen Norway Instituto de Ciências do Mar (LABOMAR) Universidade Federal do Ceará (UFC) Fortaleza Brazil Department Biological Carbon Pump Helmholtz-Zentrum Hereon Institute of Carbon Cycles Geesthacht Germany Bristol Research Initiative for the Dynamic Global Environment (BRIDGE) School of Geographical Sciences University of Bristol Bristol UK NASA Goddard Space Flight Center/Science Systems and Applications Inc Greenbelt MD USA NOAA Fisheries Silver Spring MD USA International Ocean Carbon Coordination Project Institute of Oceanology Polish Academy of Sciences Sopot Poland Lyell Centre for Earth and Marine Science Heriot-Watt University Edinburgh UK GEOMAR Helmholtz Centre for Ocean Research Kiel Kiel Germany Caribbean Coastal Ocean Observing System (CARICOOS) University of Puerto Rico-Mayaguez Mayagüez PR USA Taller Ecológico de Puerto Rico Boquerón P

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Globally stabilizing state feedback control design for Lotka-Volterra systems based on underlying linear dynamics

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IFAC-PapersOnLine 2015年第11 11期48卷 1000-1005页

作者： Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Egyetem street 10. Veszprém H-8200 Hungary Process Control Research Group Control and Automation Research Institute HAS Kende street 13-17 BudapestH-1111 Hungary

Using translated X-factorable phase space transformations and nonlinear variable transformations a dynamically similar linear ODE model is associated to the Lotka-Volterra system models with a positive equilibrium point. This enables to use a linear full state feedback controller to stabilize the system in controllable cases, that leaves the open loop equilibrium point unchanged. The linear state feedback controller design problem in the general case has also been formulated to ensure the compartmental property of the closed loop system from which the existence of a diagonal Lyapunov function follows. Further extension has been obtained by using the time re-parametrization transformation defined for quasi-polynomial models. © 2015

关键词： Mathematical transformations Biological systems Closed loop systems controllers Feedback control Linear transformations Lyapunov functions Phase space methods Polynomial approximation Predator prey systems State feedback Diagonal Lyapunov functions Linear state feedback Lotka Volterra models Lotka Volterra systems Nonlinear variables Phase space transformation Positive equilibrium Quasi poly nomial

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Guest Editorial for Special Issue on Cyber-Physical systems

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IEEE/CAA Journal of Automatica Sinica 2015年第3期2卷 233-234页

作者： Youxian Sun Xinping Guan Jiming Chen Yilin Mo Zhejiang University the Chinese Academy of Engineering the Institute of Industrial Process Control and the National Engineering Research Center of Industrial Automation Zhejiang University Department of Automation Shanghai Jiao Tong University University Research Management Office Shanghai Jiao Tong University the Key Laboratory of Systems Control and Information Processing Ministry of Education of China the prestigious Innovative Research Team of the National Natural Science Foundation of China(NSFC) Department of Control Science and Engineering group of Networked Sensing and Control in the State Key laboratory of Industrial Control Technology Institute of Industrial Process Control at Zhejiang University the School of Electrical and Electronic Engineering at Nanyang Technological University

Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical system will have a pervasive effect on our everyday *** development of cyber-physical system will create new opportunities for the introduction of services that will enhance the quality of life

关键词： for WSAN Guest Editorial for Special Issue on Cyber-Physical systems of into on WSN is

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Robust Decentralized control of Interconnected Nonlinear systems Subject to Uncertainties and Disturbances via Generalized Extended State Observers 34

Robust Decentralized Control of Interconnected Nonlinear Sys...

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第三十四届中国控制会议

作者： ZHANG Chuanlin YANG ning HE Shuaipeng JIA Ruting Shanghai Engineering Research Center of Intelligent Management and Control for Power Process College of Automation EngineeringShanghai University of Electric Power Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Electrical and Computer Engineering Department California State University

ISBN: (纸本)9789881563897

This paper studies the problem of robust decentralized control for a class of large-scale interconnected systems subject to uncertainties and disturbances via a generalized active disturbance rejection control method. First, a novel extended state observer(ESO) is constructed separately for each subsystem with less dependence of the precise system information and structure. Second, an explicit formula of the decentralized active disturbance rejection control(DADRC) law is presented by utilizing the output feedback domination approach. It is shown that by a delicate analysis procedure, the closed-loop system can be rendered semi-globally asymptotically stable only using decentralized output feedback anti-disturbance controller. Numerical simulations show the efficiency of the proposed method.

关键词： output feedback control global stabilization disturbance rejection control extended state observer

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Robust output feedback NMPC with guaranteed constraint satisfaction 8

Robust output feedback NMPC with guaranteed constraint satis...

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8th IFAC Symposium on Robust control Design, ROCOND 2015

作者： Subramanian, Sankaranarayanan Lucia, Sergio Paulen, Radoslav Engell, Sebastian Process Dynamics and Operations Group TU Dortmund Germany Otto-von-Guericke-University Magdeburg Laboratory for Systems Theory and Automatic Control Institute of Automation Engineering Germany

Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of the plant can be measured, the NMPC scheme must be robust to plant uncertainties and to estimation errors. Different robust NMPC strategies have been proposed to deal with these uncertainties. Among them, a multi-stage NMPC, which is based upon a scenario tree of future plant evolutions, is less conservative compared to worst-case open-loop approaches because the presence of feedback at future sampling instants is explicitly considered. In multi-stage output feedback NMPC, additional scenarios are created by sampling the innovations that are used to estimate the future states of the plant along the scenario tree. In this paper, we refine our previously published approach to include state estimation errors. Moreover we extend the scheme to guarantee robust constraint satisfaction by calculating reachable sets using Taylor models. The method is demonstrated for a nonlinear chemical process example. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Robust control

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Open Source as Enabler for OPC UA in Industrial Automation

Open Source as Enabler for OPC UA in Industrial Automation

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IEEE Conference on Emerging Technologies and Factory Automation

作者： Florian Palm Sten Gruner Julius Pfrommer Markus Graube Leon Urbas Chair of Process Control Engineering RWTH Aaachen University Fraunhofer IOSB Chair of Process Control Systems Engineering Technische Universitat Dresden

ISBN: (纸本)9781467379304

As a standardized communication protocol, OPC UA is the main focal point with regard to information exchange in the ongoing initiative Industrie 4.0. But there are also considerations to use it within the Internet of Things. The fact that currently no open reference implementation can be used in research for free represents a major problem in this context. The authors have the opinion that open source software can stabilize the ongoing theoretical work. Recent efforts to develop an open implementation for OPC UA were not able to meet the requirements of practical and industrial automation technology. This issue is addressed by the open62541 project which is presented in this article including an overview of its application fields and main research issues.

关键词： Industrial automation open source originating point code Internet of things open source software information exchange automation technology

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