Books on the topic 'Predictive simulation model'
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1962-, Bordons C., ed. Model predictive control. Berlin: Springer, 1999.
Find full textCamacho, E. F. Model predictive control. London: Springer, 2003.
Find full textCamacho, E. F. Model predictive control. 2nd ed. New York: Springer, 2004.
Find full textRichards, Thomas. A predictive model of Aboriginal archaeological site distribution in the Otway Range. [Melbourne]: Aboriginal Affairs Victoria, 1998.
Find full textBousfield, Wayne E. Application of predictive model to forecast Douglas-fir tussock moth defoliation. Missoula, Mont: USDA Forest Service, Northern Region, 1986.
Find full textMcMillan, Gregory K. Models unleashed: Virtual plant and model predictive control applications : a pocket guide. Research Triangle Park, NC: ISA, 2004.
Find full textBradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Bureau of Land Management, Utah State Office, 1986.
Find full textBlack, Kevin D. The Castle Valley archaeological project: An inventory and predictive model of selected tracts. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.
Find full textBlack, Kevin D. The Castle Valley archaeological project: An inventory and predictive model of selected tracts. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.
Find full textBradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.
Find full textBradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.
Find full textBradley, John E. An archaeological survey and predictive model of selected areas of Utah's Cisco Desert. Salt Lake City, Utah: Utah State Office, Bureau of Land Management, 1986.
Find full textJ, Hunt R., Tonkin Matthew J, Groundwater Resources Program (U.S.), and Geological Survey (U.S.), eds. Approaches to highly parameterized inversion: A guide to using PEST for model-parameter and predictive-uncertainty analysis. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2011.
Find full textChristoph, Helma, ed. Predictive toxicology. Boca Raton: Taylor & Francis, 2005.
Find full textArthur, Province Michael, and United States. National Telecommunications and Information Administration., eds. An automated wide area prediction model for microwave common carrier links. [Washington, D.C.?]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1990.
Find full textPreisendorfer, Rudolph W. Simulation data sets for testing MOS (model output statistics) prediction methods. Seattle, Wash: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Pacific Marine Environmental Laboratory, 1985.
Find full textMcKay, Michael D. Evaluating prediction uncertainty. Washington, DC: The Commission, 1995.
Find full textRangwala, Huzefa, G. Karypis, and G. Karypis. Introduction to protein structure prediction: Methods and algorithms. Hoboken, N.J: Wiley, 2010.
Find full textAbarbanel, Henry. Predicting the Future: Completing Models of Observed Complex Systems. New York, NY: Springer New York, 2013.
Find full textChen, Chuin-Shan. Crack growth simulation and residual strength prediction in airplane fuselages. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.
Find full textBierbaum, Carl R. Task analysis of the UH-60 mission and decision rules for developing a UH-60 workload prediction model. Alexandria, VA: U.S. Army Research Institute for the Behavioral and Social Sciences, 1989.
Find full textEl-Fadeel, Salah Ibrahim Abd. A Mathematical Model for Calculating Non-Detection Probability of a Random Tour Target. Monterey, California: Naval Postgraduate School, 1985.
Find full textNational Research Council. Transportation Research Board., ed. Traffic flow theory: Simulation models, macroscopic flow relationships, and flow estimation and prediction. Washington, DC: National Academy Press, 1998.
Find full textHughes, Garrett A. Key algorithms used in GR02: A computer simulation model for predicting tree and stand growth. [Broomall, Pa.]: U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1985.
Find full textA, Viterna Larry, and Lewis Research Center, eds. ETARA PC version 3.3 user's guide: Reliability, availability, maintainability simulation model. Cleveland, Ohio: NASA Lewis Research Center, 1991.
Find full textA, Viterna Larry, and Lewis Research Center, eds. ETARA PC version 3.3 user's guide: Reliability, availability, maintainability simulation model. Cleveland, Ohio: NASA Lewis Research Center, 1991.
Find full textA, Viterna Larry, and Lewis Research Center, eds. ETARA PC version 3.3 user's guide: Reliability, availability, maintainability simulation model. Cleveland, Ohio: NASA Lewis Research Center, 1991.
Find full textNational Institute of Standards and Technology (U.S.), ed. The zone fire model JET: A model for the prediction of detector activation and gas temperature in the presence of a smoke layer. Gaithersburg, Md: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.
Find full textMass, Clifford. A next-generation land surface model for the prediction of pavement temperature. [Olympia, Wash.]: Washington State Dept. of Transportation, 2003.
Find full textWu, Helen. Evolutionary development of the Simulation by Logical Modeling System (SIBYL). [Washington, DC: National Aeronautics and Space Administration, 1995.
Find full textChen, X. Modelling and predicting textile behaviour. Cambridge: Woodhead Publishing, 2010.
Find full textBrenner, Martin J. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.
Find full textRick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.
Find full textRick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.
Find full textRick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.
Find full textRick, Lind, and Dryden Flight Research Facility, eds. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.
Find full textOntario. Ministry of Municipal Affairs. Lakeshore Capacity Study: Integration : a simulation model for predicting the impact of lakeshore cottages on the environment. Toronto, Ont: Ontario Ministry of Municipal Affairs, 1986.
Find full textKonnie, Wescott, and Brandon R. Joe 1967-, eds. Practical applications of GIS for archaeologists: A predictive modeling toolkit. London: Taylor and Francis, 2000.
Find full textMurray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.
Find full textMurray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.
Find full textMurray, Dryer, and Space Environment Laboratory, eds. The interplanetary shock propagation model: A model for predicting solar-flare-caused geomagnetic storms, based on the 2 1/2 D, MHD numerical simulation results from the interplanetary global model (2D IGM). Boulder, Colo: National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Laboratory ; Springfield, VA, 1995.
Find full textRangwala, Huzefa. Introduction to protein structure prediction: Methods and algorithms. Hoboken, N.J: Wiley, 2010.
Find full textBroughton, J. Simulation of the structure and predictive fouling of cellular ceramic membranes in both dead end and cross flow modes. Manchester: UMIST, 1994.
Find full textFacility, Dryden Flight Research, ed. A simulation study of turbofan engine deterioration estimation using Kalman filtering techniques. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1991.
Find full textBarber, M. Craig. FGETS (Food and Gill Exchange of Toxic Substances): A simulation model for predicting bioaccumulation of nonpolar organic pollutants by fish. Athens, GA: U.S. Environmental Protection Agency, Environmental Research Laboratory, 1988.
Find full textBarber, M. Craig. FGETS (Food and Gill Exchange of Toxic Substances): A simulation model for predicting bioaccumulation of nonpolar organic pollutants by fish. Athens, GA: U.S. Environmental Protection Agency, Environmental Research Laboratory, 1988.
Find full textBurnett, Robert D. Predictive simulation of alternatives for managing the water resources of North Fork Solomon River Valley between Kirwin Dam and Waconda Lake, north-central Kansas. Lawrence, Kan: U.S. Dept. of Interior, Geological Survey, 1985.
Find full textUnited States. National Aeronautics and Space Administration., ed. An RL10A-3-3A rocket engine model using the rocket engine transient simulator (ROCETS) software. [Washington, D.C.]: National Aeronautics and Space Administration, 1993.
Find full textHuang, Biao. Dynamic modelling and predictive control in solid oxide fuel cells: First principle and data-based approaches. Hoboken: John Wiley & Sons Inc., 2013.
Find full textBaranick, Michael, Mark Abdollahian, Brian Efird, and Jack Kugler. Senturion: A predictive Polititcal Simulation Model. CreateSpace Independent Publishing Platform, 2012.
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