Academic literature on the topic 'Model Following Control'
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Journal articles on the topic "Model Following Control"
Y.P., Patil. "Discrete Adaptive Model Following Sliding Mode Control Design for Improved Performance." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 557–69. http://dx.doi.org/10.5373/jardcs/v12sp3/20201293.
Full textTANIGUCHI, Tadanari, and Kazuo TANAKA. "Fuzzy Model Following Control." Transactions of the Society of Instrument and Control Engineers 36, no. 2 (2000): 204–10. http://dx.doi.org/10.9746/sicetr1965.36.204.
Full textHIKITA, Hiromitsu, Mitsuhisa YAMASHITA, and Yuzuru KUBOTA. "Model-following repetitive control." Transactions of the Japan Society of Mechanical Engineers Series C 55, no. 519 (1989): 2792–96. http://dx.doi.org/10.1299/kikaic.55.2792.
Full textDurham, Wayne C., and Frederick H. Lutze. "Perfect explicit model-following control solution to imperfect model-following control problems." Journal of Guidance, Control, and Dynamics 14, no. 2 (March 1991): 391–97. http://dx.doi.org/10.2514/3.20651.
Full textSkoczowski, Stanislaw, and Stefan Domek. "Robust Model Following Control System." IFAC Proceedings Volumes 33, no. 25 (September 2000): 143–48. http://dx.doi.org/10.1016/s1474-6670(17)39330-8.
Full textSkoczowski, Stanisław, and Stefan Domek. "PID Robust Model Following Control." IFAC Proceedings Volumes 33, no. 4 (April 2000): 37–42. http://dx.doi.org/10.1016/s1474-6670(17)38218-6.
Full textSkoczowski, Stanisław, Stefan Domek, and Krzysztof Pietrusewicz. "Model following PID control system." Kybernetes 32, no. 5/6 (July 2003): 818–28. http://dx.doi.org/10.1108/03684920210443888.
Full textBAYOUMI, M. M., and R. T. F. CHAN. "Model-following control of manipulators." International Journal of Systems Science 18, no. 2 (January 1987): 269–91. http://dx.doi.org/10.1080/00207728708963966.
Full textDurham, Wayne C., Frederick H. Lutze, M. Remzi Barlas, and Bruce C. Munro. "Nonlinear model-following control application to airplane control." Journal of Guidance, Control, and Dynamics 17, no. 3 (May 1994): 570–77. http://dx.doi.org/10.2514/3.21235.
Full textKOSUGE, Kazuhiro, Katsuhisa FURUTA, and Tatsuaki YOKOYAMA. "Virtual Internal Model Following Control System." Transactions of the Society of Instrument and Control Engineers 24, no. 1 (1988): 55–62. http://dx.doi.org/10.9746/sicetr1965.24.55.
Full textDissertations / Theses on the topic "Model Following Control"
Durham, Wayne. "Contributions to model following control theory." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54349.
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Barlas, Mustafa Remzi. "Model-following control applications to nonlinear mechanical systems." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-10312009-020202/.
Full textSilva, André Luís da. "Nonlinear optimum model following control of flexible aircraft." Instituto Tecnológico de Aeronáutica, 2010. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1099.
Full textKress, Reid Leonard. "Adaptive model-following control for hyperthermia treatment systems." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184430.
Full textTang, Shiming. "Adaptive model following control for the robotics manipulator - PUMA 560." Ohio University / OhioLINK, 1988. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1182871986.
Full textHicks, Dawn L. "Optimal design of digital model-following systems." Thesis, University of Salford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284423.
Full textRÖING, JACOB, and CARL JENSEN. "Modelling and design of PMSM position drivesusing model following control." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299844.
Full textTeenage Engineering är ett svenskt elektronikföretag som avser att automatisera kvalitetskontrollen av deras produkter. Av denna anledning vill företaget utveckla en fixtur med möjligheten att genomföra taktila tester på deras produkter. Detta examensarbete undersöker utvecklingsprocessen av en positionskontroller för en synkronmotor med permanenta magneter (PMSM). Fixturen kommer att använda synkronmotorer med permanenta magneter (PMSM) för att styra positionen av delen som interagerar med produkten som ska testas. Studien genomfördes i två huvudfaser. Först och främst utvecklades en simulering i MATLAB/Simulink av positionskontrollern. Kontrollern använder sig av vektorbaseradkontroll (FOC) för att minska hastighetsvariationer samt modellbaserad kontroll i syfte att positionsstyra motorn. Därefter designades en motorkontrollenhet (MCU) med alla nödvändiga komponenter för att implementera den simulerade kontrollern. Studien visade att hög precision av positionsstyrning kan åstadkommas med hjälp av modellbaserad kontroll i simulering. Studien understryker också viktiga avvägningar i designprocessen av en motorkontrollenhet för PMSM motorer. En del av funktionaliteten på motorkontrollenheten testades, men mer testning krävdes för att bedöma positionskontrollerns prestation i att styra motorn. De delarna som testades på motorkontrollenheten var pulsbreddsmodulering (PWM), analog till digital konvertering (ADC), strömavläsning samt vinkelavläsning via halleffektsensorn. Dock behövdes mer testning för att fullständigt kunna verifiera MCUn.
Lapp, Tiffany Rae 1979. "Guidance and control using model predictive control for low altitude real-time terrain following flight." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/30278.
Full textIncludes bibliographical references (p. 123-125).
This thesis presents the design and implementation of a model predictive control based trajectory optimization method for Nap-of-the-Earth (NOE) flight. A NOE trajectory reference is generated over a subspace of the terrain. It is then inserted into the cost function and the resulting trajectory tracking error term is weighted for more precise longitudinal tracking than lateral tracking through the introduction of the TF/TA ratio. The TF/TA ratio, control effort penalties and MPC prediction horizon are tuned for this application via simulation and eigenvalue analysis for stability and performance. Steps are taken to reduce complexity in the optimization problem including perturbational linearization in the prediction model generation and the use of control basis functions which are analyzed for their trade-off between approximation of the optimal cost/solution and reduction of the optimization complexity. Obstacle avoidance including preclusion of ground collision is accomplished through the establishment of hard state constraints. These state constraints create a 'safe envelope' within which the optimal trajectory can be found. Results over a variety of sample terrains are provided to investigate the sensitivity of tracking performance to nominal velocities. The mission objective of low altitude and high speed was met satisfactorily without terrain or obstacle collision, however, methods to preclude or deal with infeasibility must be investigated as terrain severity (measured by commanded flight path angle) is increased past 30 degrees or speed is increased to and past 30 knots.
by Tiffany Rae Lapp.
S.M.
Costa, Giuseppe Electrical Engineering & Telecommunications Faculty of Engineering UNSW. "Robust Control For Gantry Cranes." Awarded by:University of New South Wales. Electrical Engineering and Telecommunications, 1999. http://handle.unsw.edu.au/1959.4/17609.
Full textFlood, Cecilia. "Real-time Trajectory Optimization for Terrain Following Based on Non-linear Model Predictive Control." Thesis, Linköping University, Department of Electrical Engineering, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1136.
Full textThere are occasions when it is preferable that an aircraft flies asclose to the ground as possible. It is difficult for a pilot to predict the topography when he cannot see beyond the next hill, and this makes it hard for him to find the optimal flight trajectory. With the help of a terrain database in the aircraft, the forthcoming topography can be found in advance and a flight trajectory can be calculated in real-time. The main goal is to find an optimal control sequence to be used by the autopilot. The optimization algorithm, which is created for finding the optimal control sequence, has to be run often and therefore, it has to be fast.
This thesis presents a terrain following algorithm based on Model Predictive Control which is a promising and robust way of solving the optimization problem. By using trajectory optimization, a trajectory which follows the terrain very good is found for the non-linear model of the aircraft.
Books on the topic "Model Following Control"
S, Alag Gurbux, and Dryden Flight Research Facility, eds. Model-following control for an oblique-wing aircraft. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1986.
Find full textS, Alag Gurbux, and Dryden Flight Research Facility, eds. Model-following control for an oblique-wing aircraft. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1986.
Find full textS, Alag Gurbux, and Dryden Flight Research Facility, eds. Model-following control for an oblique-wing aircraft. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1986.
Find full textModel-following control for an oblique-wing aircraft. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1986.
Find full textFacility, Dryden Flight Research, ed. Output model-following control synthesis for an oblique-wing aircraft. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1990.
Find full textFacility, Dryden Flight Research, ed. Output model-following control synthesis for an oblique-wing aircraft. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1990.
Find full textFacility, Dryden Flight Research, ed. Output model-following control synthesis for an oblique-wing aircraft. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1990.
Find full textLei, Yuan. Ventilator Control Parameters. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198784975.003.0009.
Full textErnst, Alexandra, Chris J. A. Moulin, Celine Souchay, Daniel C. Mograbi, and Robin Morris. Anosognosia and Metacognition in Alzheimer’s Disease. Edited by John Dunlosky and Sarah (Uma) K. Tauber. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199336746.013.12.
Full textJay, Schulkin, ed. Preoperative events: Their effects on behavior following brain damage. Hillsdale, N.J: L. Erlbaum Associates, 1989.
Find full textBook chapters on the topic "Model Following Control"
Duda, Holger, Gerhard Bouwer, J. Michael Bauschat, and Klaus-Uwe Hahn. "A model following control approach." In Robust Flight Control, 116–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0113855.
Full textFaulwasser, Timm, and Rolf Findeisen. "Nonlinear Model Predictive Path-Following Control." In Nonlinear Model Predictive Control, 335–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01094-1_28.
Full textFaulwasser, T., M. Mehrez, and K. Worthmann. "Predictive Path Following Control Without Terminal Constraints." In Recent Advances in Model Predictive Control, 1–26. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63281-6_1.
Full textDuda, Holger, Gerhard Bouwer, J. Michael Bauschat, and Klaus-Uwe Hahn. "Autopilot design based on the Model Following Control approach." In Robust Flight Control, 360–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0113868.
Full textMatschek, Janine, Tobias Bäthge, Timm Faulwasser, and Rolf Findeisen. "Nonlinear Predictive Control for Trajectory Tracking and Path Following: An Introduction and Perspective." In Handbook of Model Predictive Control, 169–98. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77489-3_8.
Full textPham, Khanh D. "Risk-Averse Control Problems in Model-Following Systems." In SpringerBriefs in Optimization, 67–85. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5079-5_5.
Full textLuo, Renshi, Zhenyu Yu, and Tao Tang. "Accurate Train Stopping by Model Following Sliding Mode Control." In 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings, 245–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34910-2_29.
Full textKohl, Anna M., Eleni Kelasidi, Kristin Y. Pettersen, and Jan Tommy Gravdahl. "Model-Based LOS Path-Following Control of Planar Underwater Snake Robots." In Sensing and Control for Autonomous Vehicles, 343–63. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55372-6_16.
Full textWu, Bing, and ZhiYou Cheng. "Safety Opportunity of U-Turn Model Based on Ship-Following Theory." In Future Computing, Communication, Control and Management, 723–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27326-1_93.
Full textRucco, Alessandro, António Pedro Aguiar, Fernando A. C. C. Fontes, Fernando Lobo Pereira, and João Borges de Sousa. "A Model Predictive Control-Based Architecture for Cooperative Path-Following of Multiple Unmanned Aerial Vehicles." In Developments in Model-Based Optimization and Control, 141–60. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26687-9_7.
Full textConference papers on the topic "Model Following Control"
Berk Gezer, R., and Ali Turker Kutay. "Robust model following control design for missile roll autopilot." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915107.
Full textLUTZE, FREDERICK. "A perfect explicit model following control solution to imperfect model following control problems." In Guidance, Navigation and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-3612.
Full textFitzSimons, Philip M. "A Robust Model Following Controller." In 1990 American Control Conference. IEEE, 1990. http://dx.doi.org/10.23919/acc.1990.4791199.
Full textColeman, Edward E. "Integral LQG Model Following Controller." In 1989 American Control Conference. IEEE, 1989. http://dx.doi.org/10.23919/acc.1989.4790261.
Full textHush, D., C. Abdallah, and B. Hore. "Model following using multilayer perceptrons." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.203916.
Full textDurham, Wayne. "Dynamic inversion and model-following control." In Guidance, Navigation, and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-3690.
Full textSivaramakumar and Rajgopal. "Adaptive control with optimal model following." In IEEE International Conference on Systems Engineering. IEEE, 1989. http://dx.doi.org/10.1109/icsyse.1989.48636.
Full textDURHAM, WAYNE, and FREDERICK LUTZE. "Nonlinear model-following control application to airplane control." In Navigation and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-2635.
Full textDittmar, C. J. "A Hyperstable Model-Following Flight Control System Used for Reconfiguration Following Aircraft Impairment." In 1988 American Control Conference. IEEE, 1988. http://dx.doi.org/10.23919/acc.1988.4790093.
Full textMoursi, Z. M., J. Raptis, and M. E. Sawan. "A Robust Observer-Based Model-Following Control." In 1988 American Control Conference. IEEE, 1988. http://dx.doi.org/10.23919/acc.1988.4790145.
Full textReports on the topic "Model Following Control"
Salazar, Lina, Ana Claudia Palacios, Michael Selvaraj, and Frank Montenegro. Using Satellite Images to Measure Crop Productivity: Long-Term Impact Assessment of a Randomized Technology Adoption Program in the Dominican Republic. Inter-American Development Bank, September 2021. http://dx.doi.org/10.18235/0003604.
Full textMcPhedran, R., K. Patel, B. Toombs, P. Menon, M. Patel, J. Disson, K. Porter, A. John, and A. Rayner. Food allergen communication in businesses feasibility trial. Food Standards Agency, March 2021. http://dx.doi.org/10.46756/sci.fsa.tpf160.
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