Conferences related to Bioreactors

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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


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 29th International Symposium on Industrial Electronics (ISIE)

ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.


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Periodicals related to Bioreactors

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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 ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


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Most published Xplore authors for Bioreactors

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Xplore Articles related to Bioreactors

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A method to determine the required number of neural-network training repetitions

IEEE Transactions on Neural Networks, 1999

Conventional neural-network training algorithms often get stuck in local minima. To find the global optimum, training is conventionally repeated with ten, or so, random starting values for the weights. Here we develop an analytical procedure to determine how many times a neural network needs to be trained, with random starting weights, to ensure that the best of those is within ...


A practical bistatic passive radar system for use with DAB and DRM illuminators

2008 IEEE Radar Conference, 2008

Digital broadcasts provide powerful illuminators of opportunity with waveforms that produce excellent radar ambiguity functions. An experimental program to investigate the possibility of such broadcasts for target tracking radar is described. In addition, the atmospheric monitoring possibilities for such broadcasts are discussed.


Effects of Pyridine and Methanol on the Biodegradation of 2-methylpyridine by Activated Sludge under Denitrifying Conditions

2009 International Conference on Energy and Environment Technology, 2009

Lab-scale batch experiments were conducted to investigate the biodegradation of 2-methylpyridine as sole carbon source under denitrifying conditions. Moreover, effects of pyridine and methanol on the biodegradation of 2-methylpyridine were also studied. Under denitrifying conditions, 2-methylpyridine of 100 mg/L was degraded in 13 h as sole carbon source. When pyridine was used as co-substrate with 2-methylpyridine, 2-methylpyridine degradation was inhibited, ...


On-Line Identification, Model Structure Reduction, and Control Using NARX Models

1992 American Control Conference, 1992

The Modified Gram-Schmidt orthogonalization algorithm for NARX (Non-linear AutoRegressive with eXogenous input) models is used for the on-line identification and model structure reduction of multi-input multi-output (MIMO) non-linear systems. In addition a novel non-linear adaptive controller, based on the identified model structure is proposed and verified by simulation experiments on a highly non-linear bioreactor model.


Biofilter technology: an innovative and cost-effective system to remove VOC

IEEE Transactions on Semiconductor Manufacturing, 2004

Biofilter technology is a cost-effective technique with an excellent efficiency for volatile organic compound (VOC) treatment. It is an attractive alternative to conventional air pollution abatement technologies. In this project, a combination of a Biosrubber and a Biofilter (called Biofilter System) was tested with VOC-laden exhaust air from a semiconductor fab. This Biofilter System meets all requirements of German and ...


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IEEE.tv Videos

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IEEE-USA E-Books

  • A method to determine the required number of neural-network training repetitions

    Conventional neural-network training algorithms often get stuck in local minima. To find the global optimum, training is conventionally repeated with ten, or so, random starting values for the weights. Here we develop an analytical procedure to determine how many times a neural network needs to be trained, with random starting weights, to ensure that the best of those is within a desirable lower percentile of all possible trainings, with a certain level of confidence. The theoretical developments are validated by experimental results. While applied to neural-network training, the method is generally applicable to nonlinear optimization.

  • A practical bistatic passive radar system for use with DAB and DRM illuminators

    Digital broadcasts provide powerful illuminators of opportunity with waveforms that produce excellent radar ambiguity functions. An experimental program to investigate the possibility of such broadcasts for target tracking radar is described. In addition, the atmospheric monitoring possibilities for such broadcasts are discussed.

  • Effects of Pyridine and Methanol on the Biodegradation of 2-methylpyridine by Activated Sludge under Denitrifying Conditions

    Lab-scale batch experiments were conducted to investigate the biodegradation of 2-methylpyridine as sole carbon source under denitrifying conditions. Moreover, effects of pyridine and methanol on the biodegradation of 2-methylpyridine were also studied. Under denitrifying conditions, 2-methylpyridine of 100 mg/L was degraded in 13 h as sole carbon source. When pyridine was used as co-substrate with 2-methylpyridine, 2-methylpyridine degradation was inhibited, and pyridine was degraded prior to 2-methylpyridine. On the contrary, methanol promoted the degradation of 2-methylpyridine.

  • On-Line Identification, Model Structure Reduction, and Control Using NARX Models

    The Modified Gram-Schmidt orthogonalization algorithm for NARX (Non-linear AutoRegressive with eXogenous input) models is used for the on-line identification and model structure reduction of multi-input multi-output (MIMO) non-linear systems. In addition a novel non-linear adaptive controller, based on the identified model structure is proposed and verified by simulation experiments on a highly non-linear bioreactor model.

  • Biofilter technology: an innovative and cost-effective system to remove VOC

    Biofilter technology is a cost-effective technique with an excellent efficiency for volatile organic compound (VOC) treatment. It is an attractive alternative to conventional air pollution abatement technologies. In this project, a combination of a Biosrubber and a Biofilter (called Biofilter System) was tested with VOC-laden exhaust air from a semiconductor fab. This Biofilter System meets all requirements of German and European law and protects the environment. The results of this project demonstrate that it is possible to establish this innovative and emerging technology in the semiconductor industry.

  • An approach to ex vivo expansion of stem cells

    Presented paper describes experimental works within the development of a new bioreactor which is specialized on hematopoietic stem cells. Preceding experiments with static suspension cultures and feeder layer-supported cultures were used to find the optimal media consistence and culture conditions. Perfused cultures with reproducible courses of experiments were proved to obtain higher expansion rates. The process parameters and special optical parameters were determined. The research on experimental setup is useful for further clinical applications.

  • Parametric and state estimation by means of high-gain nonlinear observers: application to a bioreactor

    We construct a high-gain nonlinear observer for parametric and state estimation in a biotechnological process. The construction is based upon the multi-output generalized observability canonical form. A comparative study of observer-based estimators shows that the advantage of the estimator design that we use is the most simple procedure to obtain the observer gain matrix.

  • Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses

    The main aim of this study is to develop a bioprocess dynamic optimisation method that integrates bioreactor transport phenomena, with metabolic flux analysis (MFA). The central metabolic pathways of many biological systems with industrial interest are currently known. Bioreactor dynamic optimisation schemes could profit from the incorporation of this knowledge. A hybrid modelling methodology is presented that integrates the aforementioned concepts. The technique was successfully validated with data of a recombinant Baby Hamster Kidney (BHK-21) culture. The method allowed to identify the time evolution of intracellular metabolic fluxes and to relate this knowledge with bioreactor decision variables.

  • Modeling and Robust Control of Continuous Bioprocesses

    This paper deals with the problem of robust control for continuous bioprocesses. According to the material balance equations of continuous bioprocesses, a uniform framework for mathematical modeling of this class of processes is first presented. Then a robust controller is designed by using the H¿ mixed sensitivity method for the bioprocesses. Finally, the proposed H¿ control strategy is applied to bio-dissimilation process of glycerol to 1, 3-propanediol. Simulation results are given which show that the designed robust controller ensures the system has a favourable robust tracking performance.

  • Process Analysis and Identification with a Real Time Intelligent Bioreactor Supervisory Controller

    Bioprocessing can be improved by utilizing all available information about the process. In particular, when knowledge about process dynamics is incomplete or during time of equipment failure, additional information derived from past data trends, expert process operators and the literature can be very useful in process analysis. In this work, an expert system based supervisory control scheme is developed and evaluated. The expert system utilizes on-line real time data as well as archived data, facts and heuristic information to analyze the process. The goal of the analysis is to assess the state of the process and to check for data agreement. In case inconsistency is detected, the expert system will estimate process variables and examine potential process faults. Based on the analysis, acceptable corrective actions and techniques to reconstruct corrupted data will be sought. The behavior and performance of some aspects of a real time implementation of the expert system controller to Clostridium acetobutylicum will be presented and discussed.



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