Relevant bibliographies by topics / Process Control and Simulation

Academic literature on the topic 'Process Control and Simulation'

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Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Process Control and Simulation"

1

Golten, J. W. "Process Control Simulation Package ‘PCS’." International Journal of Electrical Engineering Education 22, no. 3 (September 1985): 205–12. http://dx.doi.org/10.1177/002072098502200304.

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Tyler, D. W., and A. K. Quibell. "Computer simulation in process control." Mathematics and Computers in Simulation 27, no. 2-3 (April 1985): 259–66. http://dx.doi.org/10.1016/0378-4754(85)90047-3.

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MATSUMURA, Takashi, and Jurgen LEOPOLD. "D18 Simulation of Drilling Process for Control of Burr Formation(Analytical advancement of machining process)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2009.5 (2009): 489–94. http://dx.doi.org/10.1299/jsmelem.2009.5.489.

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Pedersen, J. "Controlling Activated Sludge Process Using EFOR." Water Science and Technology 26, no. 3-4 (August 1, 1992): 783–90. http://dx.doi.org/10.2166/wst.1992.0459.

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A newly developed simulation program, based on the Activated Sludge Model No. 1, has been investigated for its controlling abilities. The program is capable of simulating most of the control types which have been applied to wastewater treatment plants. The program was tested on a nitrifying and a denitrifying treatment plant. The results showed that the model makes good simulations of the applied controls.
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Gostev, Ivan M., and Pavel Е. Golosov. "SIMULATION MODEL OF PROCESS SPORADIC CONTROL." International Journal of Manufacturing Economics and Management 2, no. 1 (June 20, 2022): 16–22. http://dx.doi.org/10.54684/ijmem.2022.2.1.16.

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The control solutions for modern production with a large number of processes performed simultaneously require equal or more computing power than, for example, calculating hashes for bitcoin. Hereinafter the reference is made to the problem of maximizing the production of the quantity of some mechanical units, which include several types of details required to assemble the unit in a certain quantity. The details are assumed to be manufactured and delivered to the assembly shop in a certain set. It is required to ensure the production of details on a specified number of machines for the assembly of maximum units for a fixed time. Any detail is expected to be produced on any machine. The same details can be produced in parallel. The optimization parameters will be provided by number of details of the required nomenclature, as produced with limited machine support used for the time-constraint production of these details. The production of a unit results from the available details of required nomenclature and its assembly from such details. We consider the production simulation model focused on maximizing the output of assemblies and increasing the efficiency of the use of available equipment. To solve the problem, we use the sporadic control mechanism for the number of manufactured details.
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Bui, R. T., and R. Ouellet. "Optimal Process Control Through Computer Simulation." SIMULATION 60, no. 3 (March 1993): 151–64. http://dx.doi.org/10.1177/003754979306000302.

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Garner, K. C., N. J. Peberdy, and C. N. Moreton. "Process and process control design using dynamic flowsheet simulation." Mining, Metallurgy & Exploration 3, no. 1 (February 1986): 41–45. http://dx.doi.org/10.1007/bf03402634.

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., M. Shaharurrizal B. M. W., Farrah D. Herman ., A. Arunagiri ., and Stella Morris . "Fuzzy Logic Simulation to Process Control Systems." Information Technology Journal 1, no. 3 (March 1, 2002): 272–79. http://dx.doi.org/10.3923/itj.2002.272.279.

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Ponton, J. W., and R. McKinnel. "Nonlinear process simulation and control using transputers." IEE Proceedings D Control Theory and Applications 137, no. 4 (1990): 189. http://dx.doi.org/10.1049/ip-d.1990.0024.

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Davidson, J., and J. L. Houle. "Simulation of hierarchical process control computer systems." IFAC Proceedings Volumes 18, no. 1 (May 1985): 91–103. http://dx.doi.org/10.1016/b978-0-08-031664-2.50020-6.

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Dissertations / Theses on the topic "Process Control and Simulation"

1

Sneesby, Martin G. "Simulation and control of reactive distillation." Thesis, Curtin University, 1998. http://hdl.handle.net/20.500.11937/2555.

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Reactive distillation has enormous potential for the economical synthesis of tertiary ethers. Methyl tert-butyl ether (MTBE) has been commercially produced with this technology since the early 1980s and it appears that the process also has application for Ethyl tert-butyl ether (ETBE) and other ethers. However, the combination of reaction and distillation in a single unit operation produces a process complexity that inhibits expeditious design and tight control, and presents a technology risk for potential developers. This particularly applies to hybrid reactive distillation where both reactive and non-reactive column sections are employed.The steady state simulation of a series of reactive distillation columns and processes for the production of ETBE and MTBE illuminated a number of important issues related to the optimal design techniques. Many of these issues are peculiar to reactive distillation and would not reasonably be anticipated without a priori knowledge of the phenomena involved. For example, the addition of theoretical equilibrium stages and an increase in the reflux ratio do not always have a directionally equivalent effect. The trade-off between energy consumption and capital cost which is the basis for most distillation designs cannot always be applied to reactive distillation. Importantly, the use of standard modelling techniques for equilibrium processes was also validated for reactive distillation design.The use of residue curve diagrams and reactive residue curve diagrams for the design of reactive distillation processes was investigated and shown to provide useful information regarding the feasibility of reaction-separations. Combined with simulation tools (e.g. Pro/II and SpeedUp), these techniques form the basis of a proposed design strategy for hybrid reactive distillation. It is important to apply these design tools appropriately and to select the correct process for a given application. The optimal design must also consider economics and the relative values of products, reactants and energy. These issues were studied with respect to ETBE production for gasoline oxygenation.The complexity of hybrid reactive distillation not only presents design challenges but potentially makes the process more difficult to control. Dynamic simulations of ETBE and MTBE reactive distillation processes were used to explore some unusual dynamic phenomena and to elucidate the process non-linearity and bidirectionality of reactive distillation. The presence of multiple steady states for some reactive distillation columns has been documented previously but the analysis of this behaviour has been incomplete and somewhat flawed. It was shown that the distinction between molar inputs and physically realisable mass or volumetric inputs is crucial and that multiplicity could be present in one case and not in the other. Multiplicity that is only observed with molar inputs (relatively common) was termed pseudo-multiplicity. Pseudo-multiplicity has few implications for the operation and control of practical reactive distillation processes although most literature examples of multiple steady states fall into this category. Four distinct causes of output multiplicity were identified including one new cause, reaction hysteresis, which is only applicable to hybrid reactive distillation. It was shown, using dynamic simulations, that transitions between parallel steady states are possible for a range of physically realisable and practical disturbances. This contrasts with other work in the area, which examines only unrealisable events and control schemes.An extensive analysis of reactive distillation control was also undertaken with respect to ETBE and MTBE hybrid columns. Manual (open-loop) control was shown to be impractical due to the need to sustain the operating conditions at close to the optimal values in order to produce acceptable process performance. One-point composition control was found to be relatively easy to implement and effective with either an energy-balance or a material-balance control scheme provided only one steady state was present. Where multiple steady states exist, there are restrictions on the feasible control structures due to unavoidable instability in the inventory controllers. For example, if multiple steady states exist for the one value of the reboiler duty, only the bottoms product draw rate can be used to control the reboiler sump level. Thus, a material-balance control structure that uses the reboiler duty to control the sump level cannot be implemented in practice. Two-point control was also investigated and found to effectively prevent transitions between parallel steady states. Although more complex and difficult to implement than one-point control, a two-point scheme could be used successfully to control both the product composition and the reactant conversion and this could be desirable in some cases.A reactive distillation pilot plant was designed and operated for ETBE synthesis from ethanol and a locally available refinery hydrocarbon stream. The design of the pilot plant was based on simulation studies and the objective of operating in the industrially significant ranges of product purity and isobutene conversion. A fully automatic control system was designed and installed on the pilot plant to permit precise control of the manipulated variables and the framework to implement a range of control structures and schemes.Keywords: reactive distillation; process simulation; process design; process control; dynamic simulation; multiplicity; bidirectionality; distillation control; inferential control; pilot plant design and operation.
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Alici, Semra. "Dynamic data reconciliation using process simulation software and model identification tools." Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3025133.

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Spirito, Mario. "Simulation, control and optimization of asphalt drying process." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Il documento presentato punta alla descrizione del lavoro svolto dal DEI in collaborazione con l'azienda Marini-Fayat la quale ha sviluppato un prototipo innovativo per l'essiccazione di asfalti. L'obiettivo di tale collaborazione ha riguardato principalmente attività di studio della letteratura circa il processo di essiccazione degli asfalti, la sua modellazione e il controllo dell'intero impianto rispettandone i vincoli imposti. Il lavoro si svolto nel seguente modo, dopo lo studio della letteratura sull'argomento, due tipologie di modello sono state sviluppate: un "Evaluation model" che divideva l'impianto in sezioni concatenate di lunghezza fissata e voleva descrivere in maniera fine i comportamenti fisici del sistema, a questo si è aggiunto lo sviluppo di un "control model" con l'obiettivo di riportare solo i fenomeni principali di questo processo di essiccazione, portando così a una maggiore leggerezza computazionale. Al fine di testare le azioni di controllo si sono pensati degli esperimento per la stima dei parametri di sistema. Una volta noti tali parametri è stato possibile convalidare l'effettiva funzionalità dei controllori sviluppati sul più leggero e performante "control model" con ottimi risultati.
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Zhao, Jian 1963. "Simulation of boiler drum process dynamics and control." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61104.

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This thesis presents a mathematical process model for the dynamic analysis of a vertical reheat boiler and the application of this model to the optimal design of a drum water level controller. A numerical finite difference technique is used to formulate this model.
The control system contains two loops, a feedfoward loop using the steam flow and drum pressure signals as the input and a feedback loop using the deviation of the measured drum water level from its set point as an input. The feedback loop is an incremental PID controller with an adjustable proportional gain. The feedfoward loop is designed to directly actuate the control devices before the "swell" and "shrinkage" in the boiler water level occur. The feedforward controller output signal is summed along with the output of the PID controller to establish the set point for the control actuator. This scheme is effective because steam flow changes are immediately fed forward to change the final feedwater set point for the control actuator. In this way, feedwater flow tracks steam flow and any disturbances in the feedwater system will be arrested quickly.
It is shown that an incremental PID controller plus adapt feedfoward compensator can be successfully employed for the control of water level in such a plant.
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Cameron, Ewan A. "Enhancement of process control using real-time simulation." Thesis, University of Edinburgh, 1989. http://hdl.handle.net/1842/10860.

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Sneesby, Martin G. "Simulation and control of reactive distillation." Curtin University of Technology, School of Chemical Engineering, 1998. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=10629.

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Reactive distillation has enormous potential for the economical synthesis of tertiary ethers. Methyl tert-butyl ether (MTBE) has been commercially produced with this technology since the early 1980s and it appears that the process also has application for Ethyl tert-butyl ether (ETBE) and other ethers. However, the combination of reaction and distillation in a single unit operation produces a process complexity that inhibits expeditious design and tight control, and presents a technology risk for potential developers. This particularly applies to hybrid reactive distillation where both reactive and non-reactive column sections are employed.The steady state simulation of a series of reactive distillation columns and processes for the production of ETBE and MTBE illuminated a number of important issues related to the optimal design techniques. Many of these issues are peculiar to reactive distillation and would not reasonably be anticipated without a priori knowledge of the phenomena involved. For example, the addition of theoretical equilibrium stages and an increase in the reflux ratio do not always have a directionally equivalent effect. The trade-off between energy consumption and capital cost which is the basis for most distillation designs cannot always be applied to reactive distillation. Importantly, the use of standard modelling techniques for equilibrium processes was also validated for reactive distillation design.The use of residue curve diagrams and reactive residue curve diagrams for the design of reactive distillation processes was investigated and shown to provide useful information regarding the feasibility of reaction-separations. Combined with simulation tools (e.g. Pro/II and SpeedUp), these techniques form the basis of a proposed design strategy for hybrid reactive distillation. It is important to apply these design tools appropriately and to ++
select the correct process for a given application. The optimal design must also consider economics and the relative values of products, reactants and energy. These issues were studied with respect to ETBE production for gasoline oxygenation.The complexity of hybrid reactive distillation not only presents design challenges but potentially makes the process more difficult to control. Dynamic simulations of ETBE and MTBE reactive distillation processes were used to explore some unusual dynamic phenomena and to elucidate the process non-linearity and bidirectionality of reactive distillation. The presence of multiple steady states for some reactive distillation columns has been documented previously but the analysis of this behaviour has been incomplete and somewhat flawed. It was shown that the distinction between molar inputs and physically realisable mass or volumetric inputs is crucial and that multiplicity could be present in one case and not in the other. Multiplicity that is only observed with molar inputs (relatively common) was termed pseudo-multiplicity. Pseudo-multiplicity has few implications for the operation and control of practical reactive distillation processes although most literature examples of multiple steady states fall into this category. Four distinct causes of output multiplicity were identified including one new cause, reaction hysteresis, which is only applicable to hybrid reactive distillation. It was shown, using dynamic simulations, that transitions between parallel steady states are possible for a range of physically realisable and practical disturbances. This contrasts with other work in the area, which examines only unrealisable events and control schemes.An extensive analysis of reactive distillation control was also undertaken with respect to ETBE and MTBE hybrid columns. Manual (open-loop) control was shown to be impractical due to ++
the need to sustain the operating conditions at close to the optimal values in order to produce acceptable process performance. One-point composition control was found to be relatively easy to implement and effective with either an energy-balance or a material-balance control scheme provided only one steady state was present. Where multiple steady states exist, there are restrictions on the feasible control structures due to unavoidable instability in the inventory controllers. For example, if multiple steady states exist for the one value of the reboiler duty, only the bottoms product draw rate can be used to control the reboiler sump level. Thus, a material-balance control structure that uses the reboiler duty to control the sump level cannot be implemented in practice. Two-point control was also investigated and found to effectively prevent transitions between parallel steady states. Although more complex and difficult to implement than one-point control, a two-point scheme could be used successfully to control both the product composition and the reactant conversion and this could be desirable in some cases.A reactive distillation pilot plant was designed and operated for ETBE synthesis from ethanol and a locally available refinery hydrocarbon stream. The design of the pilot plant was based on simulation studies and the objective of operating in the industrially significant ranges of product purity and isobutene conversion. A fully automatic control system was designed and installed on the pilot plant to permit precise control of the manipulated variables and the framework to implement a range of control structures and schemes.Keywords: reactive distillation; process simulation; process design; process control; dynamic simulation; multiplicity; bidirectionality; distillation control; inferential control; pilot plant design and operation.
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Liu, Pi-Shien 1960. "Real-time process control and simulation for chemical mix facility." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276673.

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The purpose of this study is to design a real-time control and simulation system for a chemical mix facility. A simulation circuit board and software simulation in an IBM personal computer emulated the real-time chemical mix facility. A second personal computer controlled the plant. The parallel port in the IBM PC computer serves as a communication path between the controlled and controlling system. Results show that the simulation can assist the design of the actual system.
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Godfrey, Simon. "Honeywell Experion System: Configuration, simulation and process control software interoperability." Thesis, Godfrey, Simon (2016) Honeywell Experion System: Configuration, simulation and process control software interoperability. Honours thesis, Murdoch University, 2016. https://researchrepository.murdoch.edu.au/id/eprint/35817/.

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The use of automated distributed control systems has become a widely discussed topic as industry attempts to maximise efficiency. An increase in automation technology has resulted in demand for “industry ready” graduate engineers with knowledge and experience with such technologies. Murdoch University (Murdoch) provides students with exposure to industry standard automation systems such as Honeywell’s Experion Process Knowledge System (PKS), a Distributed Control System (DCS) designed for the control and optimisation of industrial plants. Presently, Murdoch uses Experion to monitor and control its pilot plant, exposing instrumentation and control students to the configuration and control of an industrial plant. Additionally, Murdoch holds a second Experion simulation license providing the ability to program and simulate process and control strategies. This project scope was to explore several key areas of the Experion simulation system followed by the development of a series of learning materials to facilitate the teaching of the Experion system to students for a new unit to be introduced at Murdoch University in 2017. The methodology adopted to achieve the project outcome involved developing a comprehensive understanding of Experion and its associated applications, before building a series of example simulation programs for the purpose of implementing and testing a variety of Experion’s control strategies. Additionally, real-time control of the Experion simulation programs, using third party process control software, was achieved. The successful interoperability of MATLAB, Simulink, and LabVIEW with Experion provides an avenue for implementing advanced control strategies both in simulation and on Murdoch’s pilot plant. At the conclusion of the project, an extensive list of learning materials was produced, providing comprehensive procedures to enact tasks within the Experion system. This includes initial setup and configuration, development of simulated programs and associated Human Machine Interface (HMI) displays, the implementation of control strategies, and third party process control software interoperability. These learning materials provide students with an enhanced learning experience, giving them the skills and exposure required to thrive in the automation engineering industry as a Murdoch University graduate.
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Von, Raubenheimer Albert Ludwich. "Strategic supply chain management using simulation." Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-12012005-092956/.

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Cox, Steven. "Simulation and control of univariate and multivariate set-up dominant process." Thesis, Durham University, 2015. http://etheses.dur.ac.uk/11383/.

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This thesis explores the use of statistically valid process improvement tools in low-volume applications. Setting out the following research questions: How can the Six Sigma Measure and Analyse phases of a chronic quality problem be statistically validated in a low-volume process? How can a statistically valid approach for process control be implemented in a low-volume process? And how can this tool be extended to fit multivariate processes and can the calculation of control parameter adjustments be automated? In answer, the thesis presents an enhanced PROcess VAriation Diagnosis Tool (PROVADT) method, driving a Six Sigma improvement project through the Measure and Analyse phases. PROVADT provides a structured sampling plan to perform a Multi-Vari study, Isoplot, Gage R&R and Provisional Process Capability in as few as twenty samples and eighty measurements, making the technique suited to low-volume applications. The enhanced PROVADT method provides a Gage R&R without confounded variation sources, as was the case in the original method, and its practical application was demonstrated through two case studies. Process control tools for low-volume, high-variety manufacturing applications were developed. An adjustable traffic-light chart, with control limits linked to tolerance and simple decision rules, was used for monitoring univariate processes. This tool, the Set-Up Process Algorithm (SUPA), uses probability theory to provide 98% confidence that the process is operating at a pre-specified minimum level of Cp in as few as five samples. SUPA was extended to deal with high-complexity applications, resulting in multivariate SUPA (mSUPA). mSUPA maintains SUPA’s principles, but presents the information about multiple process features on one chart, rather than multiple univariate charts. To supplement the mSUPA tool, a theoretical method for calculating optimal process adjustment when a multivariate process is off-target was introduced, combining discrete-event simulation and numerical optimisation to calculate adjustments.
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Books on the topic "Process Control and Simulation"

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Process dynamics: Modeling, analysis, and simulation. Upper Saddle River, N.J: Prentice Hall PTR, 1998.

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Simulation of industrial processes for control engineers. Oxford: Butterworth-Heinemann, 1999.

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Ramirez, W. Fred. Computational methods for process simulation. 2nd ed. Oxford: Butterworths, 1997.

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Computational methods for process simulation. Boston: Butterworths, 1989.

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Process modeling, simulation, and control for chemical engineers. 2nd ed. New York: McGraw-Hill, 1990.

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Thomas, Brian G., James A. Yurko, and Lifeng Zhang, eds. Sensors, Sampling, and Simulation for Process Control. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118061800.

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G, Samper Katia, and Haghi Reza K, eds. Advanced process control & simulation for chemical engineers. Toronto: Apple Academic Press, 2013.

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Luyben, William L. Process modelling, simulation and control for chemical engineers. Maidenhead: McGraw, 1990.

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Zhu, Yucai. Identification of multivariable industrial processes for simulation, diagnosis, and control. London: Springer-Verlag, 1993.

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Shinskey, F. Greg. Simulating process control loops using BASIC. Research Triangle Park, N.C: Instrument Society of America, 1989.

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Book chapters on the topic "Process Control and Simulation"

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Roffel, Brian, and Ben H. Betlem. "Process Simulation." In Advanced Practical Process Control, 33–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18258-7_2.

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Böhme, Berndt, Ralf Wieland, and Uwe Starke. "Knowledge Based Process Control." In Advances in Simulation, 419–22. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-6389-7_83.

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Vogel, Ernest F. "Plantwide Process Control Simulation." In Practical Distillation Control, 86–95. New York, NY: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-0277-4_6.

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Katebi, Reza, Michael A. Johnson, and Jacqueline Wilkie. "Process Modelling and Simulation Methods." In Advances in Industrial Control, 1–37. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0423-0_1.

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Krasilshchikov, M. N., and V. I. Karlov. "Control of the Observation Process by Probability Criterion." In Advances in Simulation, 172–74. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-6389-7_35.

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Christofides, Panagiotis D., Antonios Amaou, Yiming Lou, and Amit Varsheny. "Multiscale Process Modeling and Simulation." In Control and Optimization of Multiscale Process Systems, 1–15. Boston: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4793-3_2.

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Santín, Ignacio, Carles Pedret, and Ramón Vilanova. "Process Modelling and Simulation Scenarios." In Control and Decision Strategies in Wastewater Treatment Plants for Operation Improvement, 5–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46367-4_2.

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Wang, Jing, Jinglin Zhou, and Xiaolu Chen. "Simulation Platform for Fault Diagnosis." In Intelligent Control and Learning Systems, 45–58. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8044-1_4.

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AbstractThe previous chapters have described the mathematical principles and algorithms of multivariate statistical methods, as well as the monitoring processes when used for fault diagnosis. In order to validate the effectiveness of data-driven multivariate statistical analysis methods in the field of fault diagnosis, it is necessary to conduct the corresponding fault monitoring experiments. Therefore this chapter introduces two kinds of simulation platform, Tennessee Eastman (TE) process simulation system and fed-batch Penicillin Fermentation Process simulation system. They are widely used as test platforms for the process monitoring, fault classification, and identification of industrial process. The related experiments based on PCA, CCA, PLS, and FDA are completed on the TE simulation platforms.
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Protalinsky, Oleg, Anna Khanova, and Ivan Shcherbatov. "Simulation of Power Assets Management Process." In Recent Research in Control Engineering and Decision Making, 488–501. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12072-6_40.

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Zabiri, Haslinda, Faezah Isa, Tahir Sultan, Muhammad Afif Asyraf Affian, Anmol Fatima, and Abdulhalim Shah Maulud. "Improvements in Process Design, Simulation, and Control." In Sustainable Carbon Capture, 267–89. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003162780-10.

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Conference papers on the topic "Process Control and Simulation"

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Marsh, Dana G., and Paul H. Stiebitz. "Electrophotographic Process Control Simulation." In 1988 Los Angeles Symposium--O-E/LASE '88, edited by Ronald J. Clouthier, Gary K. Starkweather, Andrew G. Tescher, and Thomas L. Vogelsong. SPIE, 1988. http://dx.doi.org/10.1117/12.944695.

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Gazdos, Frantisek, and Jiri Marholt. "Robust Process Control With Saturated Control Input." In 28th Conference on Modelling and Simulation. ECMS, 2014. http://dx.doi.org/10.7148/2014-0285.

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Zhuang, Jiabin, Jian Tang, and Junfei Qiao. "Numerical Simulation of Municipal Solid Waste Incineration Process Based on Chemical Process Simulation Software." In 2021 40th Chinese Control Conference (CCC). IEEE, 2021. http://dx.doi.org/10.23919/ccc52363.2021.9550500.

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Skolnik, Petr, Lukas Hubka, Osvald Modrlak, and Tomas Nahlovsky. "Cogeneration units simulation models library." In 2013 International Conference on Process Control (PC). IEEE, 2013. http://dx.doi.org/10.1109/pc.2013.6581418.

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Rangla, M. K. "Simulation of activated sludge process control strategies." In International Conference on Simulation (1998). IEE, 1998. http://dx.doi.org/10.1049/cp:19980630.

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Chen, Tie-jun, Dan-dan Cui, Yan-he Shen, and Ke-hong Bi. "Methanol Synthesis Process Control and Simulation." In 2009 International Conference on Advanced Computer Control. IEEE, 2009. http://dx.doi.org/10.1109/icacc.2009.47.

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Molle, D. T. Dalle, and T. F. Edgar. "Qualitative Simulation for Process Modeling and Control." In 1989 American Control Conference. IEEE, 1989. http://dx.doi.org/10.23919/acc.1989.4790402.

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Bunday, Benjamin D. "Noise fidelity in SEM simulation." In Metrology, Inspection, and Process Control for Microlithography XXXIV, edited by Ofer Adan and John C. Robinson. SPIE, 2020. http://dx.doi.org/10.1117/12.2559631.

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Hubka, Lukas, and Petr Skolnik. "Steam turbine and steam reheating simulation model." In 2013 International Conference on Process Control (PC). IEEE, 2013. http://dx.doi.org/10.1109/pc.2013.6581378.

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Mantilla, Cesar A., and Sanjay Srinivasan. "Feedback control of polymer flooding process considering geologic uncertainty." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2011. http://dx.doi.org/10.2118/141962-ms.

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Reports on the topic "Process Control and Simulation"

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Spence, P. A., L. I. Weingarten, K. Schroder, D. M. Tung, and D. A. Sheaffer. Process control of large-scale finite element simulation software. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/205962.

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Raboin, P. J. ,. LLNL. Integration of adaptive process control with computational simulation for spin-forming. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/657365.

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Svobodny, Thomas P. Mathematical Modeling, Simulation, and Control of Physical Processes. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada455803.

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Quinn, William. Driving Down HB-LED Costs. Implementation of Process Simulation Tools and Temperature Control Methods of High Yield MOCVD Growth. Office of Scientific and Technical Information (OSTI), April 2012. http://dx.doi.org/10.2172/1053618.

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Bobashev, Georgiy, John Holloway, Eric Solano, and Boris Gutkin. A Control Theory Model of Smoking. RTI Press, June 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0040.1706.

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We present a heuristic control theory model that describes smoking under restricted and unrestricted access to cigarettes. The model is based on the allostasis theory and uses a formal representation of a multiscale opponent process. The model simulates smoking behavior of an individual and produces both short-term (“loading up” after not smoking for a while) and long-term smoking patterns (e.g., gradual transition from a few cigarettes to one pack a day). By introducing a formal representation of withdrawal- and craving-like processes, the model produces gradual increases over time in withdrawal- and craving-like signals associated with abstinence and shows that after 3 months of abstinence, craving disappears. The model was programmed as a computer application allowing users to select simulation scenarios. The application links images of brain regions that are activated during the binge/intoxication, withdrawal, or craving with corresponding simulated states. The model was calibrated to represent smoking patterns described in peer-reviewed literature; however, it is generic enough to be adapted to other drugs, including cocaine and opioids. Although the model does not mechanistically describe specific neurobiological processes, it can be useful in prevention and treatment practices as an illustration of drug-using behaviors and expected dynamics of withdrawal and craving during abstinence.
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Khvostina, Inesa, Serhiy Semerikov, Oleh Yatsiuk, Nadiia Daliak, Olha Romanko, and Ekaterina Shmeltser. Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4120.

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The need to control the risk that accompanies businesses in their day- to-day operations, and at the same time changing economic conditions make risk management an almost indispensable element of economic life. Selection of the main aspects of the selected phases of the risk management process: risk identification and risk assessment are related to their direct relationship with the subject matter (risk identification to be managed; risk analysis leading to the establishment of a risk hierarchy, and, consequently, the definition of risk control’ methods) and its purpose (bringing the risk to acceptable level). It is impossible to identify the basic patterns of development of the oil and gas industry without exploring the relationship between economic processes and enterprise risks. The latter are subject to simulation, and based on models it is possible to determine with certain probability whether there have been qualitative and quantitative changes in the processes, in their mutual influence on each other, etc. The work is devoted to exploring the possibilities of applying the Granger test to examine the causal relationship between the risks and obligations of oil and gas companies. The analysis is based on statistical tests and the use of linear regression models.
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Panek, J., and S. Johnson. Cryogenic process simulation. Office of Scientific and Technical Information (OSTI), January 1994. http://dx.doi.org/10.2172/10124508.

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Oliynyk, Kateryna, and Matteo Ciantia. Application of a finite deformation multiplicative plasticity model with non-local hardening to the simulation of CPTu tests in a structured soil. University of Dundee, December 2021. http://dx.doi.org/10.20933/100001230.

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In this paper an isotropic hardening elastoplastic constitutive model for structured soils is applied to the simulation of a standard CPTu test in a saturated soft structured clay. To allow for the extreme deformations experienced by the soil during the penetration process, the model is formulated in a fully geometric non-linear setting, based on: i) the multiplicative decomposition of the deformation gradient into an elastic and a plastic part; and, ii) on the existence of a free energy function to define the elastic behaviour of the soil. The model is equipped with two bonding-related internal variables which provide a macroscopic description of the effects of clay structure. Suitable hardening laws are employed to describe the structure degradation associated to plastic deformations. The strain-softening associated to bond degradation usually leads to strain localization and consequent formation of shear bands, whose thickness is dependent on the characteristics of the microstructure (e.g, the average grain size). Standard local constitutive models are incapable of correctly capturing this phenomenon due to the lack of an internal length scale. To overcome this limitation, the model is framed using a non-local approach by adopting volume averaged values for the internal state variables. The size of the neighbourhood over which the averaging is performed (characteristic length) is a material constant related to the microstructure which controls the shear band thickness. This extension of the model has proven effective in regularizing the pathological mesh dependence of classical finite element solutions in the post-localization regime. The results of numerical simulations, conducted for different soil permeabilities and bond strengths, show that the model captures the development of plastic deformations induced by the advancement of the cone tip; the destructuration of the clay associated with such plastic deformations; the space and time evolution of pore water pressure as the cone tip advances. The possibility of modelling the CPTu tests in a rational and computationally efficient way opens a promising new perspective for their interpretation in geotechnical site investigations.
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Diahyleva, Olena S., Igor V. Gritsuk, Olena Y. Kononova, and Alona Y. Yurzhenko. Computerized adaptive testing in educational electronic environment of maritime higher education institutions. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4448.

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The article is devoted to the organization of modern learning process, namely the use of innovative technologies – computerized adaptive testing in educational electronic environment of maritime higher education institutions. The example of educational electronic environment is presented in the article on LMS Moodle. The provided new technological and methodological opportunities are a priority in the developed methods of control and testing of knowledge, skills and abilities of students. Comparative characteristic of using computerized adaptive testing in educational electronic environment is given in the article according to different criteria: the role of tests in the learning process; methods of training; equipment; presence of the problems in educational process; level of its control and learning outcomes. The paper also presents examples of activities to form communicative competency of future maritime professionals. Types of adaptive tests are listed in the paper. The research activities were done by second year cadets of ship engineering department of Maritime College of Kherson State Maritime Academy. The experiment was devoted to the formation of communicative competence with the help of electronic environment of maritime higher education institution. The results of experiment proved positive impact of computerized adaptive testing on communicative competence of future ship engineers. Further investigation of adaptive testing can also be done for learning system of maritime education establishments using simulation technologies of virtual, augmented and mixed realities.
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Adams, Jesse. Process Control Data. Office of Scientific and Technical Information (OSTI), May 2022. http://dx.doi.org/10.2172/1866776.

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