Conferences related to Chemical reactors

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2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


2020 IEEE Frontiers in Education Conference (FIE)

The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.


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Periodicals related to Chemical reactors

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


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Most published Xplore authors for Chemical reactors

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Xplore Articles related to Chemical reactors

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Training guidelines for neural networks to estimate stability regions

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), 1999

This paper presents new results on the use of neural networks to estimate stability regions for autonomous nonlinear systems. In contrast to model-based analytical methods, this approach uses empirical data from the system to train the neural network. A method is developed to generate confidence intervals for the regions identified by the trained neural network. The neural network results are ...


An Effective Keywords Extraction Method Based on Deleting Actor Index

2010 International Conference on Web Information Systems and Mining, 2010

Keywords Extraction plays a very important role in the text-mining domain, since the keywords can represent the asserted main point in a document. Based on the term network and deleting actor index, an effective keywords extraction algorithm is proposed to extract high frequent terms as well as important terms with low frequencies. The experiment results support the conclusion.


Adaptive generalized predictive control and model reference adaptive control for CSTR Reactor

2010 International Conference on Intelligent Control and Information Processing, 2010

Large numbers of industrial chemical process have nonlinear and time varying behavior, so to achieve good control properties it's necessary to use a powerful identification method that can track these variations properly. In this paper, an on- line recursive least square identification method based on ARX is used to have good knowledge about dynamic behavior of system, then for control ...


Dynamic Output-Feedback Control for Nonlinear Time-Delay Systems and Applications to Chemical Reactor Systems

IEEE Transactions on Circuits and Systems II: Express Briefs, None

The problem of dynamic output-feedback control for nonlinear time-delay systems is studied whose nonlinearities satisfy the homogeneous growth condition. Compared with the existing work, the growth rate here is an unknown constant. We introduce two adaptive gains to handle the unknown growth rate. A homogeneous output-feedback controller is explicitly developed by adding one power integrator method. It is proved that ...


Process transfer of a-SixC1-xpassivation layers from a laboratorytype to an industrial in-line PECVD reactor

2008 33rd IEEE Photovoltaic Specialists Conference, 2008

We report the successful transfer of passivating, intrinsic a-SixC1-x:H layers from a laboratory batch-type to an industrial in-line plasma-enhanced chemical vapour deposition (PECVD) reactor. In both cases silane (SiH4) and methane (CH4) are used as precursor gases and the plasma energy is provided by a high frequency (13.65 MHz) as well as by a microwave (2.45 GHz) generator. Intensive process ...


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Educational Resources on Chemical reactors

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IEEE-USA E-Books

  • Training guidelines for neural networks to estimate stability regions

    This paper presents new results on the use of neural networks to estimate stability regions for autonomous nonlinear systems. In contrast to model-based analytical methods, this approach uses empirical data from the system to train the neural network. A method is developed to generate confidence intervals for the regions identified by the trained neural network. The neural network results are compared with estimates obtained by previously proposed methods for a standard two-dimensional example.

  • An Effective Keywords Extraction Method Based on Deleting Actor Index

    Keywords Extraction plays a very important role in the text-mining domain, since the keywords can represent the asserted main point in a document. Based on the term network and deleting actor index, an effective keywords extraction algorithm is proposed to extract high frequent terms as well as important terms with low frequencies. The experiment results support the conclusion.

  • Adaptive generalized predictive control and model reference adaptive control for CSTR Reactor

    Large numbers of industrial chemical process have nonlinear and time varying behavior, so to achieve good control properties it's necessary to use a powerful identification method that can track these variations properly. In this paper, an on- line recursive least square identification method based on ARX is used to have good knowledge about dynamic behavior of system, then for control goals two adaptive method is present: indirect adaptive control based pole placement and adaptive general predict control(GPC). The advantages of the methodologies are demonstrated on nonlinear Continuous Stirred Tank Reactor (CSTR) simulations. desired control properties is reached with a good parameter estimation and achieved results show the successful identifications and control methodologies. Result of two control strategy are compared together and advantages of Adaptive GPC is shown for time varying systems like CSTR.

  • Dynamic Output-Feedback Control for Nonlinear Time-Delay Systems and Applications to Chemical Reactor Systems

    The problem of dynamic output-feedback control for nonlinear time-delay systems is studied whose nonlinearities satisfy the homogeneous growth condition. Compared with the existing work, the growth rate here is an unknown constant. We introduce two adaptive gains to handle the unknown growth rate. A homogeneous output-feedback controller is explicitly developed by adding one power integrator method. It is proved that all the signals of the closed-loop system are bounded, meanwhile the system state globally converges to the origin. Finally, we used the proposed method to a two-stage chemical reactor as an application example.

  • Process transfer of a-SixC1-xpassivation layers from a laboratorytype to an industrial in-line PECVD reactor

    We report the successful transfer of passivating, intrinsic a-SixC1-x:H layers from a laboratory batch-type to an industrial in-line plasma-enhanced chemical vapour deposition (PECVD) reactor. In both cases silane (SiH4) and methane (CH4) are used as precursor gases and the plasma energy is provided by a high frequency (13.65 MHz) as well as by a microwave (2.45 GHz) generator. Intensive process parameters such as temperature (350–400°C) and pressure (0.3–0.4 mbar) could be directly transferred from the lab to the industrial system whereas power and gas composition had to be adjusted carefully to the different dimensions and geometry of the in-line reactor. By means of a statistical design of the experiments a parameter range for passivating a-SixC1-xlayers could be found resulting in surface recombination velocities as low as S ≪ 10 cm/s. These values could be achieved without applying any wetchemical step to the silicon samples as the cleaning of the surface was performed in-situ in the plasma chamber. The deposition rate is 100 nm/min and therefore an order of magnitude higher than in our laboratory-type system. Fourier transform infrared spectroscopy (FT-IR) measurements performed on the in-line deposited a-SixC1-xlayers reveal an elevated carbon content compared to their counterparts originating from our static laboratory PECVD reactor.

  • Robust stabilisation of chemical reactors

    The design of stabilising feedback control laws for unstable chemical reactors has been studied extensively. There are nevertheless important theoretical questions that are still open. One of them, which is the main concern of this paper, is the design of feedback control laws that are globally stabilising, robust against kinetic uncertainties and robust against control input saturations. In this paper, for a general class of continuous stirred tank reactors, we propose a set of controllers that guarantee the global temperature stabilisation in spite of strong uncertainties on the dependance of the kinetic functions with respect to the temperature. A main feature of these controllers lies on their capability of handling input constraints in some instances. Moreover, if the reactor is globally asymptotically stable in isothermal condition, then our results turn into global stabilisation of both temperature and concentrations. (Here, we point out that in spite of the global asymptotic stability in isothermal condition, the overall dynamics of the open loop reactor can be unstable). The design is based on I/O state feedback linearisation with an appropriate dynamic extension.

  • A chemical kinetic analysis of the formation of CuInSe/sub 2/ at different temperatures [solar cell modules]

    Understanding the mechanism of the growth of CuInSe/sub 2/ to obtain the pertinent kinetic data is essential for the effective design and real time control of processing equipment to produce CuInSe/sub 2/ solar cell modules. Species concentrations as a function of time and temperature are obtained from experiments in a tubular chemical vapor deposition selenization reactor and a physical vapor deposition selenization reactor. In the present work, a chemical reaction analysis is carried out for both reactors. Using this information, the numerical solution to the set of mass balance equations, estimates of the rate constants and the activation energies are presented. The authors believe that this reaction analysis can be used to interpret reactions which take place during formation of CuInSe/sub 2/ in a three source physical vapor deposition (PVD) reactor.

  • Stability study of a non-synchronous sampled-data chemical reactor system using a parameter plane method

    This paper applies a parameter plane method to a simple PI controlled chemical reactor system with nonsynchronous samplers. With the PI gains as the adjustable parameters, their allowed ranges for system stability is examined. The effect of non-synchronous sampling on stability is also studied.

  • Algorithmic synthesis and integrated design of chemical reactor systems using genetic algorithms

    This work presents an algorithmic approach to allow for the synthesis and the integrated design of processes considering simultaneously economics and controllability. The method is applied to the synthesis and design of a continuous-stirred-tank-reactor (CSTR) system. For the synthesis. all the design alternatives are coded into a superstructure which translates into a mixed integer nonlinear (MINLP/DAE) optimization problem. The solution gives the best process configuration, together with dimensions and optimal operating point. In the integrated design a compromise solution among economics and control objectives is determined by solving a multiobjective constrained non- linear optimization problem. Both problems are solved using genetic algorithms.

  • Large core fluoride fibres

    A fibre-coupled mid infrared spectrometer would have a very broad range of potential applications. For example it could be used for process control of chemical production processes in micro reactors e.g. in the pharmaceutical industry. Because of the absence of an adequate fibre, we developed preforms and fibres for this purpose using ZBLAN glass (ZrF4-BaF2-LaF3-AlF3-NaF) by a variation of the build-in casting process. Up to 25 m long coated fibres with cladding diameters up to 660 μm and core diameters of 500 μm have been fabricated. The good mechanical stability of these fibres leads to a low minimum bending radius of 10 cm and below and a tensile strength of up to 160 MPa. The attenuation of the fibres was about 1.0 dB/m at 2.5 μm and 0.7 dB/m at 3.3 μm.



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