Conferences related to Continuous-stirred tank reactor

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2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )

ETFA focus is on the latest developments and new technologies in the field of industrial and factory automation. The conference aims to exchange ideas with both industry leaders and a variety of experienced researchers, developers, and practitioners from several industries, research institutes, and academia


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 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 International Conference on Industrial Technology (ICIT)

ICIT focuses on industrial and manufacturing applications of electronics, controls, communications, instrumentation, and computational intelligence.


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Periodicals related to Continuous-stirred tank reactor

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


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 ...


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Industrial Electronics, IEEE Transactions on

Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.


Neural Networks, IEEE Transactions on

Devoted to the science and technology of neural networks, which disclose significant technical knowledge, exploratory developments, and applications of neural networks from biology to software to hardware. Emphasis is on artificial neural networks.


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Most published Xplore authors for Continuous-stirred tank reactor

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Xplore Articles related to Continuous-stirred tank reactor

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Optimal Feedback Control of a Batch Polymerization Reactor

1985 American Control Conference, 1985

A polymer product is characterized by such properties as number average and weight average molecular weights. This paper describes the closed-loop optimal control of a batch solution polymerization of methylmethacrylate in which the appropriate polymer properties are monitored and necessary feedback corrective action is taken if these properties deviate from the optimal trajectories due to disturbances. The optimal feedback control ...


The characteristic of fermentation hydrogen production with pure microbial species R3 in continuous stirred tank reactor

2010 International Conference on Mechanic Automation and Control Engineering, 2010

Hydrogen production from diluted molasses by pure microbial species R3 was investigated in a continuous stirred tank reactor (CSTR) under continuous flow condition in this paper. The reactor used in this study was made of organic glasses. The experimental results indicated that the hydrogen-producing system could attain a stable state for hydrogen production with a hydraulic retention time (HRT) of ...


Biohydrogen production from biomass and molasses wastewater by anaerobic fermentation in continuous stirred-tank reactor

2010 International Conference on Mechanic Automation and Control Engineering, 2010

Hydrogen is a clean energy carrier which has a great potential to be an alternative fuel. Abundant biomass from various industries could be a source for biohydrogen production where combination of waste treatment and energy production would be an advantage. A study of biohydrogen production using aerobic-pretreated sludge and molasses by anaerobic fermentation in continuous stirred-tank reactor (CSTR) was investigated. ...


Robust stabilisation of chemical reactors

Proceedings of 1995 34th IEEE Conference on Decision and Control, 1995

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, ...


Model-Based Method to Establish Total Pollution Load Control Objective for Looped River Network

2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009

A water quality model was developed for the surface water system made up of looped river networks. It consisted of a hydrological sub-model and a water quality sub-model. The former was built up based on the Saint Venant equations, while the latter modified the traditional CSTR taking the uncertain flow direction into account. What the model described was the temporal ...


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Educational Resources on Continuous-stirred tank reactor

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IEEE-USA E-Books

  • Optimal Feedback Control of a Batch Polymerization Reactor

    A polymer product is characterized by such properties as number average and weight average molecular weights. This paper describes the closed-loop optimal control of a batch solution polymerization of methylmethacrylate in which the appropriate polymer properties are monitored and necessary feedback corrective action is taken if these properties deviate from the optimal trajectories due to disturbances. The optimal feedback control policies are derived here and their evaluation by simulation of the batch reactor model is presented.

  • The characteristic of fermentation hydrogen production with pure microbial species R3 in continuous stirred tank reactor

    Hydrogen production from diluted molasses by pure microbial species R3 was investigated in a continuous stirred tank reactor (CSTR) under continuous flow condition in this paper. The reactor used in this study was made of organic glasses. The experimental results indicated that the hydrogen-producing system could attain a stable state for hydrogen production with a hydraulic retention time (HRT) of 8 h, influent COD concentration of 4000 mg/L and a temperature of (35±1)°C. During the steady period, the biogas yield kept about 6.6L/d with hydrogen content of 59.4%. The COD removal and ORP were 28% and -445~-420mV, respectively. The primary liquid fermentation products were ethanol and acetic acid. From the study, the strains R3 of high efficient hydrogen production can be applied to bio-hydrogen process of continuous flow.

  • Biohydrogen production from biomass and molasses wastewater by anaerobic fermentation in continuous stirred-tank reactor

    Hydrogen is a clean energy carrier which has a great potential to be an alternative fuel. Abundant biomass from various industries could be a source for biohydrogen production where combination of waste treatment and energy production would be an advantage. A study of biohydrogen production using aerobic-pretreated sludge and molasses by anaerobic fermentation in continuous stirred-tank reactor (CSTR) was investigated. The experimental results indicated the CSTR reactor could achieve continuous biohydrogen production with an initial aerobic-pretreated sludge (VSS) of 17.74 g/L, temperature of 35°C ± 1°C and HRT (hydraulic retention time) of 6 h. The high yield of 11.61 L/d hydrogen was obtained in this study with OLR (organic loading rate) of 24 kg COD/(m3·d). The content of ethanol and acetic acid in liquid fermentation products was 83% which indicated the ethanol-type fermentation formed.

  • 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.

  • Model-Based Method to Establish Total Pollution Load Control Objective for Looped River Network

    A water quality model was developed for the surface water system made up of looped river networks. It consisted of a hydrological sub-model and a water quality sub-model. The former was built up based on the Saint Venant equations, while the latter modified the traditional CSTR taking the uncertain flow direction into account. What the model described was the temporal and spatial changes of COD, NH<sub>4</sub>-N and DO concentration of the looped river network. By utilizing the prediction function of the model, a method for establishing the pollution load control objective has been given. Through Monte-Carlo-based model running, a series of pollutant load scenarios which met the water quality requirements could be produced. The scenario with maximum load can be used to determine the load control objectives. With the case of Lucheng River Network in China, the model has been calibrated and the load control objectives for COD and NH<sub>4</sub>-N have been brought forward.

  • Indirect schemes for adaptive linearizing control of a continuous stirred tank reactor

    In this paper, the authors consider the application of two different indirect schemes for parameter adaptive linearizing control of a continuous stirred rank reactor. The first scheme is based on an identifier structure that assumes that the complete state of the reactor system is measured. For the second scheme, they construct a finite dimensional adaptive nonlinear observer for the reactor system. It is demonstrated that the adaptive nonlinear observer can be combined with a linearizing controller to provide effective feedback control of the reactor system.<<ETX>>

  • Global control of nonlinear dynamical systems using neural networks. Case study: continuous stirred tank reactor

    A neural network model is proposed to simulate dynamic behaviour of a continuous stirred tank reactor. The network with two hidden layers, seven inputs, and two outputs was trained by a backpropagation learning algorithm. The transfer functions of neurons in hidden layers are sigmoidal, and the output neurons are linear. The network is capable to learn the global behaviour of the reactor and can be used as a one-step-ahead predictor in the whole region in which it was trained. This predicting capability of the network is later used by a "topological" control algorithm that can drive the reactor even into an unstable steady state and stabilize it there. The "topological" control algorithm uses the network predictor to create a set of reachable states; then finds a state that is closest to the target, and eventually calculates corresponding controls. This control strategy has a global character.

  • Structured MIMO H∞ design for feedback linearized CSTR based on non-smooth optimization

    The paper reports on application of two available numerical solvers-HIFOO and HINFSTRUCT for structured and fixed-order controller design, to a feedback linearized Continuous Stirred tank Reactor (CSTR). These solvers constitute a most practical exploitation of the research in numerical techniques for non- convex non-smooth optimization and results in design of controllers that are easy to implement and fine-tune within a standard infrastructure based on PID. Simulation results are shown to compare these two powerful and useful computational tools.

  • Application of adaptive control in a process control

    This paper presents the performance evaluation on the application of model reference adaptive control with various types of command inputs in a process plant. In the design of model reference adaptive control (MRAC) scheme, adaptive law have been developed based on Lyapunov stability theory. This paper deals with basic simulation studies on of the Continuous Stirred Tank Reactor (CSTR). The mathematical model is developed from material balances. Numerical mathematics is used for steady-state analysis and dynamic analysis which is usually represented by a set of differential equations. A simulation is carried out using Mat lab and Simulink to control the process system using the adaptive control algorithm. It is also utilized to show that the adaptive controller will be superior to the conventional controller even without parameters change in the process In a real world situation, these parameters could be estimated by using simulations or real execution of the system. It may possible to improve the performance of the adaptive controller by further modifying the adaptation law or by incorporating parameter identification in to the control.

  • A chemical reactor benchmark for parallel adaptive control using feedforward neural networks

    This paper applies a parallel scheme for adaptive control that uses only one neural network to a CSTR (continuous stirred tank reactor). Convergence of the identification error is investigated by Lyapunov's second method. The training process of the neural network is carried out by using two different techniques: backpropagation and extended Kalman filter algorithm.




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