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

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Ruano, Antonio. "Applications of neural networks to control systems." Doctoral thesis, University College of North Wales, 1992. http://hdl.handle.net/10400.1/2320.

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Tese de dout., Engenharia Electrónica, School of Electronic Engineering Science, Univ. of Wales, Bangor, 1992<br>This work investigates the applicability of artificial neural networks to control systems. The following properties of neural networks are identified as of major interest to this field: their ability to implement nonlinear mappings, their massively parallel structure and their capacity to adapt. Exploiting the first feature, a new method is proposed for PID autotuning. Based on integral measures of the open or closed loop step response, multilayer perceptrons (MLPs) are used to

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12

Ozcaldiran, Kadri. "Control of descriptor systems." Diss., Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/13531.

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13

Afzal, Muhammad. "Mathematical modelling of gas flow networks in pellet induratlon systems." Thesis, University of Greenwich, 1994. http://gala.gre.ac.uk/5700/.

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The objective of this research is to develop a simulation software tool, GASFLO, which should evaluate pressure, flow and temperature distributions of process gas in pellet induration system networks. Pellet induration systems are complex industrial systems composed of heterogenous components. The magnitude of gas through leaks i.e. the air entering or leaving the system from the points other than the known exits, is substantial and it adversely effects the performance of induration process. These leaks are very difficult to measure because of the hostile environment in the plant. The modellin

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14

Zhang, Jun. "Power control in wireless ad hoc networks /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20ZHANG.

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15

Wredh, Simon. "Neural Network Based Model Predictive Control of Turbulent Gas-Solid Corner Flow." Thesis, Uppsala universitet, Signaler och system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420056.

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Over the past decades, attention has been brought to the importance of indoor air quality and the serious threat of bio-aerosol contamination towards human health. A novel idea to transport hazardous particles away from sensitive areas is to automatically control bio-aerosol concentrations, by utilising airflows from ventilation systems. Regarding this, computational fluid dynamics (CFD) may be employed to investigate the dynamical behaviour of airborne particles, and data-driven methods may be used to estimate and control the complex flow simulations. This thesis presents a methodology for ma

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16

Zaidi, Ali Abbas. "Sensing and Control of Dynamical Systems Over Networks." Doctoral thesis, KTH, Kommunikationsteori, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-133337.

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Rapid advances in sensing, computing, and wireless technologies have led to significant interest in the understanding and development of wireless networked control systems. Networked control systems consist of spatially distributed agents such as plants (dynamical systems), sensors, and controllers, that interact to achieve desired objectives. The sensors monitor the plants and communicate measurements to remotely situated controllers. The controllers apply actions to stabilize and control the plants. Such systems have diverse applications in security, surveillance, industrial production, hea

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17

Frayman, Yakov, and mikewood@deakin edu au. "Fuzzy neural networks for control of dynamic systems." Deakin University. School of Computing and Mathematics, 1999. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20051017.145550.

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This thesis provides a unified and comprehensive treatment of the fuzzy neural networks as the intelligent controllers. This work has been motivated by a need to develop the solid control methodologies capable of coping with the complexity, the nonlinearity, the interactions, and the time variance of the processes under control. In addition, the dynamic behavior of such processes is strongly influenced by the disturbances and the noise, and such processes are characterized by a large degree of uncertainty. Therefore, it is important to integrate an intelligent component to increase the control

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18

Mazumdar, Sanjay Kumar. "Adaptive control of nonlinear systems using neural networks /." Title page, contents and abstract only, 1995. http://web4.library.adelaide.edu.au/theses/09PH/09phm476.pdf.

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19

Hofer, Daniel G. Sbarbaro. "Connectionist feedforward networks for control of nonlinear systems." Thesis, University of Glasgow, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390248.

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20

Tzirkel-Hancock, Eli. "Stable control of nonlinear systems using neural networks." Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259554.

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21

Asgari, Hamid. "Modelling, Simulation and Control of Gas Turbines Using Artificial Neural Networks." Thesis, University of Canterbury. Mechanical Engineering, 2014. http://hdl.handle.net/10092/9355.

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This thesis investigates novel methodologies for modelling, simulation and control of gas turbines using ANNs. In the field of modelling and simulation, two different types of gas turbines are modelled and simulated using both Simulink and neural network based models. Simulated and operational data sets are employed to demonstrate the capability of neural networks in capturing complex nonlinear dynamics of gas turbines. For ANN-based modelling, the application of both static (MLP) and dynamic (NARX) networks are explored. Simulink and NARX models are set up to explore both steady-state and tra

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22

Terelius, Håkan. "Optimization and Control in Dynamical Network Systems." Doctoral thesis, KTH, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-194205.

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Dynamical network systems are complex interconnected systems useful to describe many real world problems. The advances in information technology has led the current trend towards connecting more and more systems, creating "intelligent" systems, where the intelligence originates in the scale and complexity of the network. With the growing scale of networked systems comes also higher demands on performance and continuous availability and this creates the need for optimization and control of network systems. This thesis makes four important contributions in this area. In the first contribution, w

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23

Joe, Inwhee. "Error control for wireless ATM networks." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/15643.

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24

Dutkiewicz, Eryk. "Connection admission control in ATM networks /." Title page, abstract and contents only, 1991. http://web4.library.adelaide.edu.au/theses/09SM/09smd976.pdf.

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25

Lightbody, G. "Identification and control using neural networks." Thesis, Queen's University Belfast, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359059.

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26

Ji, Kun. "Real-time control over networks." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5834.

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A control system in which sensors, actuators, and controllers are interconnected over a communication network is called a networked control system (NCS). Enhanced computational capabilities and bandwidths in the networking technology enabled researchers to develop NCSs to implement distributed control schemes. This dissertation presents a framework for the modeling, design, stability analysis, control, and bandwidth allocation of real-time control over networks. This framework covers key research issues regarding control over networks and can be the guidelines of NCS design. A single actuator

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27

Ismael, Ali. "Neural adaptive control systems /." free to MU campus, to others for purchase, 1998. http://wwwlib.umi.com/cr/mo/fullcit?p9901244.

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28

Grant, Marcus Paul. "Computer control of air-gas ratio for nozzle mix systems." Thesis, Coventry University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390222.

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29

Hu, Wenshan. "Design of networked control systems and global Web-based control laboratory." Thesis, University of South Wales, 2008. https://pure.southwales.ac.uk/en/studentthesis/design-of-networked-control-systems-and-global-webbased-control-laboratory(0c8a2649-120a-494f-a887-defcaceed570).html.

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This thesis mainly focuses on two Internet based control applications. One is a networked control system (NCS) where the control loop is closed through the network. The other is the Networked Control System Laboratory (NCSLab) which is a global web based remote experimentation platform. The contribution in the first part of the thesis relates to the networked predictive control (NPC) which was first introduced by Liu et al. (2004). In this method, the controller uses the model predictive approach to predict a future control sequence and send it to the plant in a network packet. The plant side

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30

Bu, Shengrong. "Wireless ad-hoc control networks." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060316.151756/index.html.

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31

Wang, Bo. "Analysis and implementation of time-delay systems and networked control systems." Thesis, University of South Wales, 2008. https://pure.southwales.ac.uk/en/studentthesis/analysis-and-implementation-of-timedelay-systems-and-networked-control-systems(f54e4378-db9b-443d-b505-88b4af5bb72a).html.

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Systems with delays frequently appear in engineering. The presence of delays makes system analysis and control design much more complicated. Networked control systems where the delays are often random are typical cases of such systems. For one particular category of time-delays systems, integral processes with dead time (IPDTs), the control limits that a PI controller can achieve are discussed in this thesis. These limits include the region of the control parameters to guarantee the system stability, the control parameters to achieve the given gain and/or phase margins (GPMs), the constraint o

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32

Morles, Eliezer Colina. "Identification and control of dynamic systems using neural networks." Thesis, University of Sheffield, 1994. http://etheses.whiterose.ac.uk/15059/.

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The aim of this thesis is to contribute in solving problems related to the on-line identification and control of unknown dynamic systems using feedforward neural networks. In this sense, this thesis presents new on-line learning algorithms for feedforward neural networks based upon the theory of variable structure system design, along with mathematical proofs regarding the convergence of solutions given by the algorithms; the boundedness of these solutions; and robustness features of the algorithms with respect to external perturbations affecting the neural networks' signals. In the thesis, th

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33

Brown, Lars, and Erik Axelsson. "Use of Information-Centric Networks in Revision Control Systems." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-31063.

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NetInf and CCN are two Information-Centric Network approaches which are constructed to solve limitations of today’s Internet that was developed in the 60’s. Today’s Internet requires that datum is referred by its location. This is not something the end-user is interested in, the user is only interested in securely finding the information that searched for. These approaches decouple location from data and also aim on embedding security into the information itself and to provide caching functionality directly in networks. The main goal of this thesis work was to show the potential advantages of

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34

Clegg, Stephen. "Integrated modelling of electrical and gas transmission networks in multi-energy systems." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/integrated-modelling-of-electrical-and-gas-transmission-networks-in-multienergy-systems(e1b07a2b-8bd2-472d-8274-8d54978e9770).html.

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The scope of this thesis is an investigation into the interactions between the gas and electrical transmission networks in the context of a low-carbon energy system with explicit considerations of the role played by multi-energy vectors, including heating, in future scenarios. Many energy systems are in a state of transition due to the growing need to reduce their carbon impact while maintaining reliability and reducing costs. The generation capacity of gas-fuelled power stations, as a cleaner alternative to coal, has been continuing to grow in many power systems. Furthermore, their operationa

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35

McFarland, Michael Bryan. "Adaptive nonlinear control of missiles using neural networks." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/13283.

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36

林誠 and Shing Lam. "Stability of neural network control systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31214265.

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37

Lam, Shing. "Stability of neural network control systems /." Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B1859797X.

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38

Ramani, Vipin. "Reconfigurable control using polynomial neural networks." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/13297.

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39

Watanabe, Yukio. "Learning control of automotive active suspension systems." Thesis, Cranfield University, 1997. http://dspace.lib.cranfield.ac.uk/handle/1826/13865.

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This thesis considers the neural network learning control of a variable-geometry automotive active suspension system which combines most of the benefits of active suspension systems with low energy consumption. Firstly, neural networks are applied to the control of various simplified automotive active suspensions, in order to understand how a neural network controller can be integrated with a physical dynamic system model. In each case considered, the controlled system has a defined objective and the minimisation of a cost function. The neural network is set up in a learning structure, such th

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40

Bensing, Richard G. "An assessment of vulnerabilities for ship-based control systems." Thesis, Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Sep/09Sep%5FBensing.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, September 2009.<br>Thesis Advisor(s): Burke, Karen ; Dinolt, George. "September 2009." Description based on title screen as viewed on November 04, 2009. Author(s) subject terms: Vulnerability Assessment, Supervisory Control and Data Acquisition, SCADA, Critical Infrastructure, Information Assurance, control system Includes bibliographical references (p. 161-170). Also available in print.

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41

Heffernan, Donal A. "Embedded real-time networks for control applications." Thesis, University of Salford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272619.

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42

Zhang, Bing. "Experiments in learning control using neural networks." Thesis, University of Strathclyde, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336066.

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43

Biss, Diane. "Gas turbine control using polynomial H#infinity# design techniques." Thesis, University of Strathclyde, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307025.

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44

Tai, Hoi-lun Allen. "Stochastic models for inventory systems and networks." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37681758.

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45

Chen, Jiancong. "Mixed-mode wireless networks : framework and power control issues /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?COMP%202004%20CHEN.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2004.<br>Includes bibliographical references (leaves 101-108). Also available in electronic version. Access restricted to campus users.

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46

Guo, Lingzhong. "Applications of neural networks in nonlinear dynamic systems." Thesis, University of the West of England, Bristol, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275830.

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47

Foster, Austin Richard. "Thermal Gradient Characterization and Control in Micro-Fabricated Gas Chromatography Systems." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7481.

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In order to make gas chromatography (GC) more widely accessible, considerable effort has been made in developing miniaturized GC systems. Thermal gradient gas chromatograpy (TGGC), one of the heating methods used in GC, has recieved attention over the years due to it's ability to enhance analyte focusing. The present work seeks to develop high performance miniaturized GC systems by combining miniaturized GC technology with thermal gradient control methods, creating miniaturized thermal gradient gas chromatography (µTGGC) systems. To aid in this development a thermal control system was develope

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48

Naraghi, F. "Communication protocols for distributed monitoring and control systems." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280539.

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49

Javali, Nagesh. "Topology control for wireless ad-hoc networks." Click here for download, 2008. http://proquest.umi.com/pqdweb?did=1580780361&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.

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Thesis (M.S.)--Villanova University, 2008.<br>"This research work is funded in part by National Science Foundation (NSF), Computing and Communication Foundation (CCF) award 0728909"--P. iii. Computer Science Dept. Includes bibliographical references.

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Feng, Ming. "Local modelling and control of nonlinear systems." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326788.

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