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Relevant bibliographies by topics / Control systems/gas networks

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Dissertations / Theses
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Academic literature on the topic 'Control systems/gas networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Control systems/gas networks"

1

Parkinson, J. S., and R. J. Wynne. "Systems Modelling and Control Applied to a Low-Pressure Gas Distribution Network." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 206, no. 1 (1992): 35–44. http://dx.doi.org/10.1243/pime_proc_1992_206_196_02.

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A control system has been designed and implemented to provide more effective energy management of low-pressure gas distribution networks. The key to this is the provision of a control scheme that maintains low pressures across a network. The work was approached from first principles and a modelling technique has been developed which provides reduced order models that adequately describe the characteristics of multi-feed gas networks. The models were then used for the control system design, which in this case also included the selection of the optimal measurement points for most effective contr

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Moetamedzadeh, Hamid Reza, Esmaeel Khanmirza, Ali Pourfard, and Reza Madoliat. "Intelligent nonlinear model predictive control of gas pipeline networks." Transactions of the Institute of Measurement and Control 41, no. 16 (2019): 4569–89. http://dx.doi.org/10.1177/0142331219864190.

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In gas pipeline networks, the set-points should be carefully tuned to minimize the fuel consumption of compressor stations and meet the network requirements. In practice, the real demand has some variations over the forecasted one and consequently utilizing an appropriate controller to minimize the fuel consumption and manage the network variations is inevitable. The model predictive control is a great choice for systems with long delay such as gas networks. In this paper, an intelligent nonlinear model predictive control of a gas pipeline plant is proposed. It models the plant in fully transi

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Osiadacz, Andrzej J., and Maciej Chaczykowski. "Dynamic Control for Gas Pipeline Systems." Archives of Mining Sciences 61, no. 1 (2016): 69–82. http://dx.doi.org/10.1515/amsc-2016-0006.

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Abstract An algorithm for optimal control of a gas network with any configuration based upon hierarchical control and decomposition of the network is described. Local problems are solved using a gradient technique. The subsystems are coordinated using „good coordination” method to find the overall optimum. Discrete state equation for the case in which output pressures are treated as elements of the control vector has been formulated. Results of investigations are included.

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Kambhampati, C., C. Perkgoz, R. J. Patton, and W. Ahamed. "An interaction predictive approach to fault-tolerant control in network control systems." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 221, no. 6 (2007): 885–94. http://dx.doi.org/10.1243/09596518jsce377.

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This paper illustrates some of the capabilities of previously proposed network control system (NCS) architectures to carry on functioning in the event of faults, without recourse to system reconfiguration. The principle of interaction prediction is used to set up a coordination strategy that encapsulates an ability to withstand or tolerate certain faults, thereby allowing the system to continue functioning. It is also shown that the coordination strategy can be made more effective if a learning agent is allowed to learn the coordination functions. This facilitates the use of different types of

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Javarone, Marco Alberto. "Fermionic networks." International Journal of Modern Physics C 27, no. 02 (2015): 1650021. http://dx.doi.org/10.1142/s0129183116500212.

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We study the structure of fermionic networks, i.e. a model of networks based on the behavior of fermionic gases, and we analyze dynamical processes over them. In this model, particle dynamics have been mapped to the domain of networks, hence a parameter representing the temperature controls the evolution of the system. In doing so, it is possible to generate adaptive networks, i.e. networks whose structure varies over time. As shown in previous works, networks generated by quantum statistics can undergo critical phenomena as phase transitions and, moreover, they can be considered as thermodyna

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Marqués, Dardo, and Manfred Morari. "On-line optimization of gas pipeline networks." Automatica 24, no. 4 (1988): 455–69. http://dx.doi.org/10.1016/0005-1098(88)90091-x.

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Ferrigno, L., R. Morello, V. Paciello, and A. Pietrosanto. "Remote Metering in Public Networks." Metrology and Measurement Systems 20, no. 4 (2013): 705–14. http://dx.doi.org/10.2478/mms-2013-0061.

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Abstract New research trends in energy grids and water networks push toward ICT solutions for allowing remote metering of consumption. In the paper, after an introduction to the European Standards on smart metering, two visual sensors thought to solve typical metering problems in water public networks are described. Particular detail is given hardware and software solutions and the perspective of integration with analog gas and electric energy metering devices.

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Chun, Yangha. "Analysis of Cyber Threats in the Connection Section of the Control System and Countermeasures Required." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 412–17. http://dx.doi.org/10.17762/turcomat.v12i6.1831.

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In the past, the general practice for the control system network that manages and controls industrial facilities such as electric power, gas, oil, water, chemicals, automobiles, etc. was to install and operate this as an independent system, but over time the practice has gradually shifted toward the use of an open and standardized system. Until recently, most industrial control systems consisted of an independent network, and the possibility of cyber threat infringement was very low. As information storage media such as laptops or USB are connected to the control system for maintenance or mana

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Machón-González, Iván, and Hilario López-García. "Feedforward Nonlinear Control Using Neural Gas Network." Complexity 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/3125073.

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Nonlinear systems control is a main issue in control theory. Many developed applications suffer from a mathematical foundation not as general as the theory of linear systems. This paper proposes a control strategy of nonlinear systems with unknown dynamics by means of a set of local linear models obtained by a supervised neural gas network. The proposed approach takes advantage of the neural gas feature by which the algorithm yields a very robust clustering procedure. The direct model of the plant constitutes a piece-wise linear approximation of the nonlinear system and each neuron represents

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Rao, Nandan, Shubhra Srivastava, and Sreekanth K.S. "PKI Deployment Challenges and Recommendations for ICS Networks." International Journal of Information Security and Privacy 11, no. 2 (2017): 38–48. http://dx.doi.org/10.4018/ijisp.2017040104.

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Different types of Control Systems used for Industrial production are broadly called Industrial Control Systems (ICS) (n.d.). These include Supervisory Control and Data Acquisition (SCADA) Systems and Distributed Control Systems (DCS). ICS typically perform the “Command and Control” operations required for smooth functioning of machines in industrial production. They are widely used in Critical infrastructures such as power generation and distribution systems, Oil and Gas plants, Chemical factories and various other manufacturing facilities. Traditionally, ICS used proprietary protocols and op

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Dissertations / Theses on the topic "Control systems/gas networks"

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Wong, Man Lam. "The application of constrained optimization gas transmission networks." Thesis, University of Oxford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235972.

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Parkinson, J. S. "Control system design for low pressure gas distribution networks." Thesis, University of Manchester, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378367.

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Pearson, D. W. "Robust observer design and application to gas networks." Thesis, Coventry University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380696.

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Mu, Junxia. "Design and application of advanced control methods to gas turbines and networked systems." Thesis, University of South Wales, 2005. https://pure.southwales.ac.uk/en/studentthesis/design-and-application-of-advanced-control-methods-to-gas-turbines-and-networked-systems(c6311aed-db75-415a-8b2a-f1594479f685).html.

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This thesis deals with the design and application of modern control techniques to a Rolls Royce aircraft gas turbine engine and networked systems. It is motivated by the need to fully exploit recent advances in control engineering and investigate the suitability of various control methods to gas turbine engines and networked systems. The main contributions of the first part of the thesis relate to the gas turbine engine control. Due to the nonlinearities of the gas turbine engines, the rate limiter and saturation constraints on the fuel feed, the aim is to illustrate the potential of a global

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DORASKEVICIUS, JUNIOR WALDEMAR. "Identificacao de padrões em sistemas supervisórios de instalações de reatores nucleares e em sistemas de gasodutos utilizando mapas auto-organizáveis." reponame:Repositório Institucional do IPEN, 2005. http://repositorio.ipen.br:8080/xmlui/handle/123456789/11273.

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Made available in DSpace on 2014-10-09T12:50:09Z (GMT). No. of bitstreams: 0<br>Made available in DSpace on 2014-10-09T14:02:45Z (GMT). No. of bitstreams: 1 10560.pdf: 13999156 bytes, checksum: 35d876c05a19cc2168712512431fdb02 (MD5)<br>Dissertacao (Mestrado)<br>IPEN/D<br>Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP

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Kleman, Björn, and Henrik Lindgren. "Evaluation of model-based fault diagnosis combining physical insights and neural networks applied to an exhaust gas treatment system case study." Thesis, Linköpings universitet, Fordonssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176650.

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Fault diagnosis can be used to early detect faults in a technical system, which means that workshop service can be planned before a component is fully degraded. Fault diagnosis helps with avoiding downtime, accidents and can be used to reduce emissions for certain applications. Traditionally, however, diagnosis systems have been designed using ad hoc methods and a lot of system knowledge. Model-based diagnosis is a systematic way of designing diagnosis systems that is modular and offers high performance. A model-based diagnosis system can be designed by making use of mathematical models that a

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Choudhary, P. A. "State estimation applied to gas distribution networks." Thesis, University of Manchester, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378007.

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The need to make more efficient use of energy resources by improved methods of control, the deferment of expensive pipework reinforcement or replacement and the requirement to accommodate different loading patterns on sections of the gas network have made the requirement for effective feedback control essential. Gas distribution systems are large and complex and a major problem in applying conventional feedback techniques is the cost and reliability of transmitting the data necessary for automatic control. In order to overcome these difficulties, state estimation techniques have been investiga

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Ho, Chi-Jui. "Call admission control in cellular networks." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/15730.

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Ruano, Antonio Eduardo de Barras. "Applications of neural networks to control systems." Thesis, Bangor University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304917.

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Somanath, Amith. "Control of stochastically interacting systems on networks." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112459.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 109-117).<br>The goal of this thesis is to develop control theoretic analysis and algorithms for characterizing and controlling stochastically interacting systems on networks. Such systems have three essential features - (i) they are stochastic processes, (ii) they are made up several individual components connected through a network, and (iii) the connected components influence one another through local

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Books on the topic "Control systems/gas networks"

1

Wu lian wang gan zhi yu kong zhi ji shu. Qing hua da xue chu ban she, 2012.

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1973-, Ben-Ari Guy, ed. Transforming European militaries: Coalition operations and the technology gap. Routledge, 2006.

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Chiang, Mung. Power control in wireless cellular networks. Now Publishers, 2007.

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Maurice, Heemels, and Johansson Mikael, eds. Networked control systems. Springer, 2010.

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D, Metz Stephen. Survey of gas tubine control for application to marine gas turbine propulsion system control. Naval Postgraduate School, 1989.

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Gordon, Patrick C. Network management and control: Systems planning. Yankee Group, 1986.

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Kuzirian, Robert. Gas turbine systems supervisor. The Activity, 1994.

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A course in fuzzy systems and control. Prentice Hall PTR, 1997.

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Moore, Kevin L. Iterative learning control for deterministic systems. Springer-Verlag, 1993.

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Networking for building automation and control systems. Fairmont Press, 1992.

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Book chapters on the topic "Control systems/gas networks"

1

Klempous, Ryszard, Barbara Łysakowska, and Jan Nikodem. "Supervisory control and data acquisition system for the gas flow networks." In Computer Aided Systems Theory — EUROCAST '95. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0034787.

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Hante, Falk M., Günter Leugering, Alexander Martin, Lars Schewe, and Martin Schmidt. "Challenges in Optimal Control Problems for Gas and Fluid Flow in Networks of Pipes and Canals: From Modeling to Industrial Applications." In Industrial Mathematics and Complex Systems. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3758-0_5.

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Schmidt, G., R. Maier, and G. Lappus. "Parallel Simulation Techniques as Kernel of a Decision Support System for Control of Large Gas Transmission Networks." In System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3931-8_16.

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Devitt, Timothy W. "Flue Gas Desulfurization Systems." In Air Pollution Control Equipment. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-85144-5_11.

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Werner, Eric. "Developmental Control Networks." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_570.

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James, Matthew R. "Quantum Networks." In Encyclopedia of Systems and Control. Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-5102-9_100162-1.

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James, Matthew R. "Quantum Networks." In Encyclopedia of Systems and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_100162.

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Das, Aveek, Rafael Fierro, and Vijay Kumar. "Control Graphs for Robot Networks." In Cooperative Systems. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3758-5_4.

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Dupuy, F. J. P. "Towards seamless control and management systems." In Intelligent Networks and Intelligence in Networks. Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35323-4_3.

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Liu, Rongjian, Jianquan Lu, and Jie Zhong. "Pinning Control Design for Stabilization of Boolean Networks From Constructed Boolean Control Networks." In Positive Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04327-8_21.

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Conference papers on the topic "Control systems/gas networks"

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Lahroodi, Mahmood, and A. A. Mozafari. "Combination of Neural Networks and State Vector Feedback Adaptive Control (SVFAC) Technique to Control the Gas Turbine Combustor." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15764.

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Neural networks have been applied very successfully in the identification and control of dynamic systems. When designing a control system to ensure the safe and automatic operation of the gas turbine combustor, it is necessary to be able to predict temperature and pressure levels and outlet flow rate throughout the gas turbine combustor to use them for selection of control parameters. This paper describes a nonlinear SVFAC controller scheme for gas turbine combustor. In order to achieve the satisfied control performance, we have to consider the affection of nonlinear factors contained in contr

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Abbatantuono, Gaetano, Silvia Lamonaca, Massimo La Scala, and Ugo Stecchi. "Monitoring and emergency control of natural gas distribution urban networks." In 2016 IEEE Workshop on Environmental, Energy and Structural Monitoring Systems (EESMS). IEEE, 2016. http://dx.doi.org/10.1109/eesms.2016.7504843.

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Lakehal, A., Z. Ghemari, and S. Saad. "Transformer fault diagnosis using dissolved gas analysis technology and Bayesian networks." In 2015 4th International Conference on Systems and Control (ICSC). IEEE, 2015. http://dx.doi.org/10.1109/icosc.2015.7152759.

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Lezzar, Omar C., M. Boutamine, A. Bellel, S. Sahli, Y. Segui, and P. Raynaud. "Quantitative gas identification using HMDSO coated QCM sensors and multilayer neural networks." In 2013 3rd International Conference on Systems and Control (ICSC). IEEE, 2013. http://dx.doi.org/10.1109/icosc.2013.6750857.

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Mantelli, L., V. Zaccaria, K. Kyprianidis, and M. L. Ferrari. "A Degradation Diagnosis Method for Gas Turbine – Fuel Cell Hybrid Systems Using Bayesian Networks." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-16203.

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Abstract During the last decades there has been a rise of awareness regarding the necessity to increase energy systems efficiency and reduce carbon emissions. These goals could be partially achieved through a greater use of gas turbine - solid oxide fuel cell hybrid systems to generate both electric power and heat. However, this kind of systems are known to be delicate, especially due to the fragility of the cell, which could be permanently damaged if its temperature and pressure levels exceed their operative limits. This could be caused by degradation of a component in the system (e.g. the tu

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Gao, B., J. Darling, D. G. Tilley, R. A. Williams, A. Bean, and J. Donahue. "Modelling of a Novel Gas Strut Using Neural Networks." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59119.

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The strut is one of the most important components in a vehicle suspension system. Since it is highly non-linear it is difficult to predict its performance characteristics using a physical mathematical model. However, neural networks have been successfully used as universal ‘black-box’ models in the identification and control of non-linear systems. This approach has been used to model a novel gas strut and the neural network was trained with experimental data obtained in the laboratory from simulated road profiles. The results obtained from the neural network demonstrated good agreement with th

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Yu, Huaping, and Mei Guo. "An efficient oil and gas pipeline monitoring systems based on wireless sensor networks." In 2012 International Conference on Information Security and Intelligence Control (ISIC). IEEE, 2012. http://dx.doi.org/10.1109/isic.2012.6449735.

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Arnold, Michele, Rudy R. Negenborn, Goran Andersson, and Bart De Schutter. "Distributed control applied to combined electricity and natural gas infrastructures." In 2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA 2008). IEEE, 2008. http://dx.doi.org/10.1109/infra.2008.5439653.

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Dymkou, S., and G. Jank. "2-D control theory in gas transport network modeling." In The Fourth International Workshop on Multidimensional Systems - NDS 2005. IEEE, 2005. http://dx.doi.org/10.1109/nds.2005.195361.

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Culley, Dennis. "Transition in Gas Turbine Control System Architecture: Modular, Distributed, and Embedded." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-23226.

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Controls systems are an increasingly important component of turbine-engine system technology. However, as engines become more capable, the control system itself becomes ever more constrained by the inherent environmental conditions of the engine; a relationship forced by the continued reliance on commercial electronics technology. A revolutionary change in the architecture of turbine-engine control systems will change this paradigm and result in fully distributed engine control systems. Initially, the revolution will begin with the physical decoupling of the control law processor from the host

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Reports on the topic "Control systems/gas networks"

1

Aman Behal, Sunil Kumar, and Goodarz Ahmadi. Intelligent Control via Wireless Sensor Networks for Advanced Coal Combustion Systems. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/934579.

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Mu, Hong H., Y. P. Kakad, and B. G. Sherlock. Application of Artificial Neural Networks in the Design of Control Systems. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada384438.

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Livengood, C. D., Hann S. Huang, M. H. Mendelsohn, and Jiann M. Wu. Enhancement of mercury control in flue-gas cleanup systems. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/266762.

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Gölles, Markus, Daniel Muschick, Viktor Unterberger, Paolo Leoni, Ralf-Roman Schmidt, and Gunnar Lennermo. Control of DHC networks and Reduction of the operating temperatures in DH systems. IEA SHC Task 55, 2021. http://dx.doi.org/10.18777/ieashc-task55-2021-0002.

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Overview on different approaches for the control of the heat distribution networks in case of the integration of large-scale solar thermal systems, and different possibilities for the reduction of the operating temperatures in DH systems.

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KRIPPS, L. J. Control Decisions for Flammable Gas Hazards in Waste Transfer Systems. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/803940.

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Livengood, C. D., H. S. Huang, M. H. Mendelsohn, and Jiann M. Wu. Development of mercury control enhancements for flue-gas cleanup systems. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/97170.

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G. Blythe, B. Marsh, S. Miller, C. Richardson, and M. Richardson. ENHANCED CONTROL OF MERCURY BY WET FLUE GAS DESULFURIZATION SYSTEMS. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/828035.

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Unknown. ENHANCED CONTROL OF MERCURY BY WET FLUE GAS DESULFURIZATION SYSTEMS. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/794238.

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Murray, William R. Control for Intelligent Tutoring Systems: A Comparison of Blackboard Architectures and Discourse Management Networks. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada201534.

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Li, Howell, Enrique Saldivar-Carranza, Jijo K. Mathew, et al. Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317212.

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Obtaining timely information across the state roadway network is important for monitoring the condition of the roads and operating characteristics of traffic. One of the most significant challenges in winter roadway maintenance is identifying emerging or deteriorating conditions before significant crashes occur. For instance, almost all modern vehicles have accelerometers, anti-lock brake (ABS) and traction control systems. This data can be read from the Controller Area Network (CAN) of the vehicle, and combined with GPS coordinates and cellular connectivity, can provide valuable on-the-ground

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