Relevant bibliographies by topics / Hardware-in-the-Loop

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Hardware-in-the-Loop'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Hardware-in-the-Loop"

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Lee, Wonkyun, Chan-Young Lee, Joo-Yeong Kim, Chang Kyu Song, and Byung-Kwon Min. "Hardware-in-the-loop Simulation of CNC-controlled Feed Drives." Journal of the Korean Society for Precision Engineering 32, no. 5 (May 1, 2015): 447–54. http://dx.doi.org/10.7736/kspe.2015.32.5.447.

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Park, Ji-Myoung, Won-Kyung Ham, Min-Suk Ko, and Sang-Chul Park. "Hardware-In-the-Loop Simulation of ECU using Reverse Engineering." Journal of the Korea Society for Simulation 25, no. 1 (March 31, 2016): 35–43. http://dx.doi.org/10.9709/jkss.2016.25.1.035.

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Bullock, Darcy, Brian Johnson, Richard B. Wells, Michael Kyte, and Zhen Li. "Hardware-in-the-loop simulation." Transportation Research Part C: Emerging Technologies 12, no. 1 (February 2004): 73–89. http://dx.doi.org/10.1016/j.trc.2002.10.002.

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Schneeweiss, Bernhard, and Philipp Teiner. "HARDWARE-IN-THE-LOOP-SIMULATION." ATZextra 15, no. 6 (May 2010): 76–79. http://dx.doi.org/10.1365/s35778-010-0429-6.

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Jo, BongEon, and Young Sam Lee. "Development of a Hardware-in-the-Loop Simulator for BLDC Motor Driving Using Microcontroller." Journal of Institute of Control, Robotics and Systems 24, no. 12 (December 31, 2018): 1101–10. http://dx.doi.org/10.5302/j.icros.2018.18.0181.

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Han, Jaesu, Jaeyoung Han, and Sangseok Yu. "Emulation of Thermal Energy Generation of Fuel Cell Stack via Hardware in Loop Simulation." Transactions of the Korean Society of Mechanical Engineers - B 42, no. 11 (November 30, 2018): 735–44. http://dx.doi.org/10.3795/ksme-b.2018.42.11.735.

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Choi, Jin-Suk, and Young-Sam Lee. "The Implementation of a Hardware-In-The-Loop Simulator for an Inverted Pendulum System Using Open-Source Hardware." Journal of Institute of Control, Robotics and Systems 23, no. 2 (February 28, 2017): 117–25. http://dx.doi.org/10.5302/j.icros.2017.17.0002.

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Yi, Kyong-Su, and Chan-Kyu Lee. "An Investigation of Vehicle-to-Vehicle Distance Control Laws Using Hardware-in-the Loop Simulation." Transactions of the Korean Society of Mechanical Engineers A 26, no. 7 (July 1, 2002): 1401–7. http://dx.doi.org/10.3795/ksme-a.2002.26.7.1401.

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Thanagasundram, Suguna, Ross McMurran, Alexandros Mouzakitis, Christian Matthews, and Peter Jones. "Reconfigurable Hardware-in-the-Loop Simulator." Measurement and Control 43, no. 9 (November 2010): 273–77. http://dx.doi.org/10.1177/002029401004300902.

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Yoo, Hyeong-Jun, and Hak-Man Kim. "Islanded Microgrid Simulation using Hardware-in-the Loop Simulation (HILS) System based on OPAL-RT." Transactions of The Korean Institute of Electrical Engineers 62, no. 4 (April 1, 2013): 566–72. http://dx.doi.org/10.5370/kiee.2013.62.4.566.

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Dissertations / Theses on the topic "Hardware-in-the-Loop"

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Driscoll, Scott Crawford. "The Design and Qualification of a Hydraulic Hardware-in-the-Loop Simulator." Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7132.

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The goal of this work was to design and evaluate a hydraulic Hardware-in-the-Loop (HIL) simulation system based around electric and hydraulic motors. The idea behind HIL simulation is to install real hardware within a physically emulated environment, so that genuine performance can be assessed without the expense of final assembly testing. In this case, coupled electric and hydraulic motors were used to create the physical environment emulation by imparting flows and pressures on test hardware. Typically, servo-valves are used for this type of hydraulic emulation, and one of the main purposes of this work was to compare the effectiveness of using motors instead of the somewhat standard servo-valve. Towards this end, a case study involving a Sauer Danfoss proportional valve and emulation of a John Deere backhoe cylinder was undertaken. The design of speed and pressure controllers used in this emulation is presented, and results are compared to data from a real John Deere backhoe and proportional valve. While motors have a substantially lower bandwidth than servo-valves due to their inertia, they have the ability to control pressure at zero and near-zero flows, which is fundamentally impossible for valves. The limitations and unique capabilities of motors are discussed with respect to characteristics of real hydraulic systems.
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Cazarini, Eduardo. "Desenvolvimento de uma plataforma para testes de controladores, em arquitetura de controle hardware in the loop, utilizando um hardware eletrônico externo e um software de simulação de voo." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/18/18149/tde-18072016-180439/.

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Essa dissertação tem por objetivo o desenvolvimento de uma plataforma para testes de controladores de voo. Tal plataforma consiste em um hardware executando algoritmos de controle e atuando numa aeronave simulada em software de simulação de voo. O software de simulação escolhido, baseado na experiência prática de pilotos profissionais, foi o Microsoft Flight Simulator (MSFS), para o qual desenvolveu-se o modelo gráfico e dinâmico do quadricóptero AscTec Pelican. A comunicação entre o MSFS e o hardware é feita pela interface USB através do software FVMS v2.0 desenvolvido em ambiente DELPHI® 7.0 exclusivamente para este trabalho. O FVMS é capaz de ler o estado das variáveis de voo no MSFS, enviá-las para o hardware externo executar o controle, receber os sinais de controle de volta e utilizá-los no MSFS. O projeto e execução do hardware externo com controlador dsPIC também foi realizado neste mesmo trabalho. A título de avaliação de desempenho, também foi implementado um controlador robusto do tipo H∞ linear, desenvolvido pela equipe ART (Aerial Robots Team) da Escola de Engenharia de São Carlos. O mesmo controlador também foi aplicado na arquitetura software in the loop, na qual o controle é executado dentro do próprio FVMS, para comparação de desempenho entre os dois sistemas. Ao término do trabalho, as características de desempenho do sistema como um todo ficam bem evidenciadas através dos testes de estabilidade com e sem distúrbios executados em ambas arquiteturas de controle.
This dissertation aims to develop a platform for flight controllers tests. It platform consists of an electronic hardware where the control\'s algorithms will be executed and a virtual aircraft is simulated in flight simulation software. The chosen simulation software, based on practical experience of professional pilots, was Microsoft Flight Simulator (MSFS). The graphic and dynamic model of quadrotor AscTec Pelican was developed to perform inside the software. The communication between the MSFS and the hardware is made by USB interface through FVMS v2.0 software developed in DELPHI® 7.0 environment, exclusively for this work. The FVMS can read the status of the flight variables in MSFS, send them to the external hardware, receive control signals back and write them in MSFS. The design and implementation of external hardware with dsPIC controller was also developed ons ame work. For performance evaluation of the system, it was also implemented a robust linear H∞ controller, developed by ART team (Aerial Robots Team) of the School of Engineering of São Carlos. The same controller was also applied using software in the loop architecture, in which the control is performed inside FVMS, to compare performance between the two architectures. In the end of the work, the performance characteristics of the systems were well evidenced by the stability tests carried out with and without disturbances in both control architectures.
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Braun, Robert. "Hardware-in-the-Loop Simulation of Aircraft Actuator." Thesis, Linköping University, Linköping University, Department of Management and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-20466.

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Advanced computer simulations will play a more and more important role in future aircraft development and aeronautic research. Hardware-in-the-loop simulations enable examination of single components without the need of a full-scale model of the system. This project investigates the possibility of conducting hardware-in-the-loop simulations using a hydraulic test rig utilizing modern computer equipment. Controllers and models have been built in Simulink and Hopsan. Most hydraulic and mechanical components used in Hopsan have also been translated from Fortran to C and compiled into shared libraries (.dll). This provides an easy way of importing Hopsan models in LabVIEW, which is used to control the test rig. The results have been compared between Hopsan and LabVIEW, and no major differences in the results could be found. Importing Hopsan components to LabVIEW can potentially enable powerful features not available in Hopsan, such as hardware-in-the-loop simulations, multi-core processing and advanced plotting tools. It does however require fast computer systems to achieve real-time speed. The results of this project can provide interesting starting points in the development of the next generation of Hopsan.

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Stern, Christopher. "Hardware-in-the-Loop rammeverk for UAV testing." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13236.

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I denne rapporten presenteres et rammeverk for Hardware in the Loop Simulation (HILS) i forbindelse med utvikling av Unmanned Aerial Vehicle (UAV) styresystemer. Oppgaven er utført som masteroppgave ved Teknisk Kybernetikk, NTNU.Rammeverket er utviklet i Windows 7 og baserer seg på dynamisk simulator programmert i MATLAB/Simulink og Flight Gear er brukt for visuell fremstilling av flyet. Resultatet består av tre deler som til sammen kompletterer en fullstendig HIL simulator. Oppgaven avgrenser seg til det datatekniske omkring utviklingen av HIL. Det vil si at den matematiske bakgrunnen for flymodeller og simuleringen ikke er utledet.Kapittel 2 gir en innføring i begreper og maskinvare utviklet for Odin Recce UAV. Resultatet er deretter presentert i tre deler.I kapittel 3 er oppbyggingen av et driverbibliotek for avlesing av joystick gjennomgått i detalj for språkene: C/C++, Java, MATLAB og Simulink. En grafisk bakkestasjon for logging av data og styring av modellen utviklet i MATLAB i kapittel 4.Tilsvarende systemer er beskrevet og analysert som basis for videre utvikling som siste av resultatet tilhørende kapittel 5. Her også testprosedyrer og feilkilder redegjort for.Oppgaven presenterer en generell fremgangsmåte for HIL simulering. Rammeverket er kodet med lavest mulig kobling og høy kohesjon for at løsningen skal kunne gjenbrukes senere.Ved å tilpasse den dynamiske modellen til ønsket fysisk system kan en legge til reguleringssløyfer og kontrollsystem med mulighet for å påtrykke eventuelle feilsituasjoner – brukeren får visuell tilbakemelding på flyets oppførsel via Flight Gear og bakkestasjonen gjør det også mulig å logge sanntidsdata.Prosjektet er en del av utviklingen omkring Odin Recce D6 UAV, men denne modellen er ikke brukt spesifikt i utviklingen. Mer informasjon om Odin er på www.odin.aero.
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Bjelevac, Salko, and Peter Karlsson. "Steering System Verification Using Hardware-in-the-Loop." Thesis, Linköpings universitet, Fordonssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119332.

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In order for leading industrial companies to remain competitive, the process of product developement constantly needs to improve. In order to shorten development time -- that is the time from idea to product -- simulations of products in-house is becoming a popular method. This method saves money and time since expensive prototypes become unnecessary. Today the calibration of steering gears is done in test vehicles by experienced test drivers. This is a time consuming process that is very costly because of expensive test vehicles. This report investigates possibilities and difficulties with transfering the calibrations from field to rig. A steering rig has been integrated with a car simulation program. Comparisons between simulation in the loop (SIL) and hardware in the loop (HIL) have been made and differences between different configurations of steering gears have been evaluated. An automatic process including calibration of parameters, testing and analysis of the test results has been implemented. The work laid the foundation of calibration of steering parameters and showed correlation between calibration parameters and objective metrics.
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Goulkhah, Mohammad (Monty). "Waveform relaxation based hardware-in-the-loop simulation." Cigre Canada, 2014. http://hdl.handle.net/1993/31012.

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This thesis introduces an alternative potentially low cost solution for hardware-in-the-loop (HIL) simulation based on the waveform relaxation (WR) method. The WR tech-nique is extended so that, without the need for a real-time simulator, the behaviour of an actual piece of physical hardware can nevertheless be tested as though it were connected to a large external electrical network. This is achieved by simulating the external network on an off-line electromagnetic transients (EMT) simulation program, and utilizing iterative exchange of waveforms between the simulation and the hardware by means of a spe-cialized Real-Time Player/Recorder (RTPR) interface device. The approach is referred to as waveform relaxation based hardware-in-the-loop (WR-HIL) simulation. To make the method possible, the thesis introduces several new innovations for stabi-lizing and accelerating the WR-HIL algorithm. It is shown that the classical WR shows poor or no convergence when at least one of the subsystems is an actual device. The noise and analog-digital converters’ quantization errors and other hardware disturbances can affect the waveforms and cause the WR to diverge. Therefore, the application of the WR method in performing HIL simulation is not straightforward and the classical WR need to be modified accordingly. Three convergence techniques are proposed to improve the WR-HIL simulation con-vergence. Each technique is evaluated by an experimental example. The stability of the WR-HIL simulation is studied and a stabilization technique is proposed to provide suffi-cient conditions for the simulation stability. The approach is also extended to include the optimization of the parameters of power system controllers located in geographically distant places. The WR-HIL simulation technique is presented with several examples. At the end of the thesis, suggestions for the future work are presented.
February 2016
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MacDiarmid, Monte. "Analysis and Design of Hardware-in-the-Loop Simulators." Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504431.

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Harris, Jr Frederick Bernard. "GNSS Hardware-In-The-Loop Formation and Tracking Control." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/71380.

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Formation and tracking control are critical for of today's vehicle applications in and this will be true for future vehicle technologies as well. Although the general function of these controls is for data collection and military applications, formation and tracking control may be applied to automobiles, drones, submarines, and spacecraft. The primary application here is the investigation of formation keeping and tracking solutions for realistic, real-time, and multi-vehicle simulations. This research explores the creation of a predictive navigation and control algorithm for formation keeping and tracking, raw measurement data collection, and building a real-time GNSS closed HWIL testbed for simulations of different vehicles. The L1 frequency band of the Global Positioning System (GPS) constellation is used to observe and generate raw measurement data that encompasses range, pseudo-range, and Doppler frequency. The closed HWIL simulations are implemented using Spirent's Communication Global Navigation Satellite system (GNSS) 6560 and 8000 hardware simulators along with Ashtech, G-12 and DG-14, and Novetel OEM 628 receivers. The predictive navigation control is similar to other vision-based tracking techniques, but relies mainly on vector projections that are controlled by acceleration, velocity magnitude, and direction constraints to generate realistic motion. The current state of the testbed is capable of handling one or more vehicle applications. The testbed can model simulations up to 24 hours. The vehicle performance during simulations can be customized for any required precision by setting a variety of vehicle parameters. The testbed is built from basic principles and is easily upgradable for future expansions or upgrades.
Master of Science
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Larsson, Viktor, Liselott Ericson, and Petter Krus. "Hardware-in-the-loop simulation of hybrid hydromechanical transmissions." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71075.

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Increased demands on fuel-efficient propulsion motivate the use of complex hybrid hydromechanical transmissions in heavy construction machines. These transmissions offer attractive fuel savings but come with an increased level of complexity and dependency on computer-based control. This trend has increased the use of computer-based simulations as a cost-effective alternative to hardware prototyping when developing and testing control strategies. Hardware-In-the-Loop (HWIL) simulations that combine physical and virtual model representations of a system may be considered an attractive compromise that combine the benefits of these two concepts. This paper explores how HWIL simulations may be used to evaluate powertrain control strategies for hybrid hydromechanical transmissions. Factors such as hardware/software partitioning and causality are discussed and applied to a test rig used for HWIL simulations of an example transmission. The results show the benefit of using HWIL simulations in favour of pure offline simulations and prototyping and stress the importance of accurate control with high bandwidth in the HWIL interface.
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Harris, Frederick Bernard Jr. "GNSS Hardware-In-The-Loop Formation and Tracking Control." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71380.

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Formation and tracking control are critical for of today's vehicle applications in and this will be true for future vehicle technologies as well. Although the general function of these controls is for data collection and military applications, formation and tracking control may be applied to automobiles, drones, submarines, and spacecraft. The primary application here is the investigation of formation keeping and tracking solutions for realistic, real-time, and multi-vehicle simulations. This research explores the creation of a predictive navigation and control algorithm for formation keeping and tracking, raw measurement data collection, and building a real-time GNSS closed HWIL testbed for simulations of different vehicles. The L1 frequency band of the Global Positioning System (GPS) constellation is used to observe and generate raw measurement data that encompasses range, pseudo-range, and Doppler frequency. The closed HWIL simulations are implemented using Spirent's Communication Global Navigation Satellite system (GNSS) 6560 and 8000 hardware simulators along with Ashtech, G-12 and DG-14, and Novetel OEM 628 receivers. The predictive navigation control is similar to other vision-based tracking techniques, but relies mainly on vector projections that are controlled by acceleration, velocity magnitude, and direction constraints to generate realistic motion. The current state of the testbed is capable of handling one or more vehicle applications. The testbed can model simulations up to 24 hours. The vehicle performance during simulations can be customized for any required precision by setting a variety of vehicle parameters. The testbed is built from basic principles and is easily upgradable for future expansions or upgrades.
Master of Science
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Books on the topic "Hardware-in-the-Loop"

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Hardware-in-the-Loop simulation: A scalable, component-based, time-triggered hardware-in-the-loop simulation framework. Saarbrücken: VDM Verl. Dr. Müller, 2008.

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hler, Christian Ko. Enhancing embedded systems simulation: A Chip-Hardware-in-the-loop simulation framework. Wiesbaden: Vieweg + Teubner, 2011.

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Stepp, Ronald K. Electronic combat hardware-in-the-loop testing in an open air environment. Monterey, Calif: Naval Postgraduate School, 1994.

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Machin, James R. An analysis of the Longbow HELLFIRE hardware in the loop lot acceptance plan. Monterey, Calif: Naval Postgraduate School, 1994.

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Tripathi, Saurabh Mani, and Francisco M. Gonzalez-Longatt, eds. Real-Time Simulation and Hardware-in-the-Loop Testing Using Typhoon HIL. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0224-8.

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Lee, Murrer Robert, and Society of Photo-optical Instrumentation Engineers., eds. Technologies for synthetic environments: Hardware-in-the-loop testing : 9-11 April 1996, Orlando, Florida. Bellingham, Wash: SPIE, 1996.

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Murrer, Robert Lee. Technologies for synthetic environments: Hardware-in-the-loop testing XII : 10 April 2007, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2007.

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Lee, Murrer Robert, and Society of Photo-optical Instrumentation Engineers., eds. Technologies for synthetic environments: Hardware-in-the-loop testing III : 13-15 April 1998, Orlando, Florida. Bellingham, Wash., USA: SPIE, 1998.

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Calif.) Technologies for Synthetic Evironments: Hardware-in-the-Loop (Conference) (18th 2013 Burlingame. Technologies for Synthetic Evironments: Hardware-in-the-Loop XVIII: 2 May 2013, Baltimore, Maryland, United States. Edited by Buford James A. Jr, Murrer Robert Lee Jr, Ballard Gary H, and SPIE (Society). Bellingham, Washington, USA: SPIE, 2013.

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Lee, Murrer Robert, and Society of Photo-optical Instrumentation Engineers., eds. Technologies for synthetic environments: Hardware-in-the-loop testing II : 21-23 April 1997, Orlando, Florida. Bellingham, Wash., USA: SPIE, 1997.

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Book chapters on the topic "Hardware-in-the-Loop"

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Munoz-Hernandez, German Ardul, Sa’ad Petrous Mansoor, and Dewi Ieuan Jones. "Hardware-in-the-Loop Simulation." In Advances in Industrial Control, 139–58. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2291-3_8.

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Ogan, Ron T. "Hardware-in-the-Loop Simulation." In Modeling and Simulation in the Systems Engineering Life Cycle, 167–73. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5634-5_14.

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Mirfendreski, Aras. "Hardware-in-the-Loop (HiL)-Kopplung." In Entwicklung eines echtzeitfähigen Motorströmungs- und Stickoxidmodells zur Kopplung an einen HiL-Simulator, 115–37. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-19329-4_4.

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Nguyen, V. H., Q. T. Tran, E. Guillo-Sansano, P. Kotsampopoulos, C. Gavriluta, G. Lauss, T. I. Strasser, et al. "Hardware-in-the-Loop Assessment Methods." In European Guide to Power System Testing, 51–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42274-5_4.

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Trenkel, Kristian, and Florian Spiteller. "Sensorsimulation in Hardware-in-the-Loop-Anwendungen." In Industrie 4.0 und Echtzeit, 51–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45109-0_6.

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Vogt, Simon M., M. Klostermann, A. Kundu, S. Andruschenko, and U. G. Hofmann. "Hardware-in-the-Loop Testing for closed-loop Brain Stimulators." In IFMBE Proceedings, 1128–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_270.

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Reinold, Peter, Norbert Meyer, Dominik Buse, Florian Klingler, Christoph Sommer, Falko Dressler, Markus Eisenbarth, and Jakob Andert. "Verkehrssimulation im Hardware-in-the-Loop-Steuergerätetest." In Proceedings, 253–69. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25294-6_15.

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Millitzer, Jonathan, Dirk Mayer, Christian Henke, Torben Jersch, Christoph Tamm, Jan Michael, and Christopher Ranisch. "Recent Developments in Hardware-in-the-Loop Testing." In Model Validation and Uncertainty Quantification, Volume 3, 65–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74793-4_10.

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Ma, Yulin, Youchun Xu, and Jianshi Li. "Hardware-in-the-Loop Simulations for Connected Vehicle." In Proceedings of the 2015 Chinese Intelligent Automation Conference, 81–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46466-3_9.

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Zhang, Xi, and Chris Mi. "Hardware-in-the-loop and Software-in-the-loop Testing for Vehicle Power Management." In Vehicle Power Management, 303–29. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-736-5_10.

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Conference papers on the topic "Hardware-in-the-Loop"

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Cole, Jr., John S. "Hardware-in-the-loop simulation at the U.S. Army Missile Command." In Technologies for Synthetic Environments: Hardware-in-the-Loop Testing. SPIE, 1996. http://dx.doi.org/10.1117/12.241103.

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DeCesaris, Jr., Chet A. "Role of interceptor hardware-in-the-loop testing in ballistic missile defense programs." In Technologies for Synthetic Environments: Hardware-in-the-Loop Testing. SPIE, 1996. http://dx.doi.org/10.1117/12.241093.

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Skalka, Marion S. "Twenty years of hardware-in-the-loop simulation at Eglin Air Force Base, Florida: lessons learned." In Technologies for Synthetic Environments: Hardware-in-the-Loop Testing. SPIE, 1996. http://dx.doi.org/10.1117/12.241114.

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Bailey, Michelle. "Contributions of hardware-in-the-loop simulations to Navy test and evaluation." In Technologies for Synthetic Environments: Hardware-in-the-Loop Testing. SPIE, 1996. http://dx.doi.org/10.1117/12.241122.

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Fayad, Mohamed E., Louis J. Hawn, Mark A. Roberts, Jay W. Schooley, and Wei-Tek Tsai. "Hardware-In-the-Loop (HIL) simulation." In the conference. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/143557.143716.

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Kim, Hajin J., and Stephen G. Moss. "Common hardware-in-the-loop development." In SPIE Defense, Security, and Sensing, edited by James A. Buford, Jr. and Robert Lee Murrer, Jr. SPIE, 2009. http://dx.doi.org/10.1117/12.819194.

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Schroeder, Kurt, and Joseph Robenson. "Improving Hardware-In-The-Loop Testing." In 2005 U.S. Air Force T&E Days. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-7610.

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Kim, Hajin J., and Stephen G. Moss. "Common hardware-in-the-loop development." In SPIE Defense, Security, and Sensing, edited by James A. Buford, Jr. and Robert Lee Murrer, Jr. SPIE, 2010. http://dx.doi.org/10.1117/12.852449.

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Wilson, Mark A. "Visualization in hardware-in-the-loop simulation." In AeroSense '97, edited by Robert Lee Murrer, Jr. SPIE, 1997. http://dx.doi.org/10.1117/12.280963.

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Reddy, B. Ramana Manohar, and P. Durga Sai. "DSP based closed loop Hardware-In-The-Loop simulator development." In 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA). IEEE, 2012. http://dx.doi.org/10.1109/msna.2012.6324503.

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Reports on the topic "Hardware-in-the-Loop"

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Buford, James A., and Kenneth R. Letson. THAAD Hardware-in-the-Loop Signal Injection Hardware Technical Description. Fort Belvoir, VA: Defense Technical Information Center, March 1998. http://dx.doi.org/10.21236/ada341751.

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Rigas, Nikolaos, John Curtiss Fox, Randy Collins, James Tuten, Thomas Salem, Mark McKinney, Ramtin Hadidi, Benjamin Gislason, Eric Boessneck, and Jesse Leonard. 15 MW HArdware-in-the-loop Grid Simulation Project. Office of Scientific and Technical Information (OSTI), October 2014. http://dx.doi.org/10.2172/1340152.

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Murakami, Kei. Hardware-In-The-Loop Testing of Distributed Electronic Systems. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0080.

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Burkholder, R. J., Robert J. Mariano, I. J. Gupta, and P. Schniter. Hardware-in-the-loop testing of wireless systems in realistic environments. Office of Scientific and Technical Information (OSTI), June 2006. http://dx.doi.org/10.2172/889418.

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McIntosh, John, and Klaehn Burkes. Power Hardware-in-the-Loop Testing of Distribution Solid State Transformers. Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1476257.

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Schoder, Karl, James Langston, John Hauer, Ferenc Bogdan, Michael Steurer, and Barry Mather. Power Hardware-in-the-Loop-Based Anti-Islanding Evaluation and Demonstration. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1226153.

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Schkoda, Ryan, Curtiss Fox, Ramtin Hadidi, Vahan Gevorgian, Robb Wallen, and Scott Lambert. Hardware-in-the-Loop Testing of Utility-Scale Wind Turbine Generators. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1237305.

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Schoder, K., J. Langston, M. Steurer, S. Azongha, M. Sloderbeck, T. Chiocchio, C. Edrington, A. Farrell, J. Vaidya, and K. Yost. Hardware-in-the-Loop Testing of a High-Speed Generator Excitation Controller. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada522750.

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Shenker, Steven, Rosana Yamasaki, and Tobias Kreuzinger. Testing of ABS Systems for 2-Wheelers via Hardware-in-the-Loop Technology. Warrendale, PA: SAE International, October 2013. http://dx.doi.org/10.4271/2013-32-9175.

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Coe, Ryan, Jorge Leon Quiroga, Giorgio Bacelli, Steven Spencer, Johannes Spinneken, and Damian Gallegos-Patterson. Hardware-in-the-loop testing of a hydraulic wave energy power take-off system. Office of Scientific and Technical Information (OSTI), March 2023. http://dx.doi.org/10.2172/2280830.

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