Livres sur le sujet « Predictive simulation model »

1962-, Bordons C., dir. Model predictive control. Berlin : Springer, 1999.

Camacho, E. F. Model predictive control. London : Springer, 2003.

Camacho, E. F. Model predictive control. 2^e éd. New York : Springer, 2004.

Richards, Thomas. A predictive model of Aboriginal archaeological site distribution in the Otway Range. [Melbourne] : Aboriginal Affairs Victoria, 1998.

Bousfield, Wayne E. Application of predictive model to forecast Douglas-fir tussock moth defoliation. Missoula, Mont : USDA Forest Service, Northern Region, 1986.

McMillan, Gregory K. Models unleashed : Virtual plant and model predictive control applications : a pocket guide. Research Triangle Park, NC : ISA, 2004.

Bradley, 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.

Black, 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.

Black, 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.

Bradley, 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.

Bradley, 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.

Bradley, 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.

J, Hunt R., Tonkin Matthew J, Groundwater Resources Program (U.S.) et Geological Survey (U.S.), dir. 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.

Christoph, Helma, dir. Predictive toxicology. Boca Raton : Taylor & Francis, 2005.

Arthur, Province Michael, et United States. National Telecommunications and Information Administration., dir. 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.

Preisendorfer, 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.

McKay, Michael D. Evaluating prediction uncertainty. Washington, DC : The Commission, 1995.

Rangwala, Huzefa, G. Karypis et G. Karypis. Introduction to protein structure prediction : Methods and algorithms. Hoboken, N.J : Wiley, 2010.

Abarbanel, Henry. Predicting the Future : Completing Models of Observed Complex Systems. New York, NY : Springer New York, 2013.

Chen, Chuin-Shan. Crack growth simulation and residual strength prediction in airplane fuselages. Hampton, Va : National Aeronautics and Space Administration, Langley Research Center, 1999.

Bierbaum, 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.

El-Fadeel, Salah Ibrahim Abd. A Mathematical Model for Calculating Non-Detection Probability of a Random Tour Target. Monterey, California : Naval Postgraduate School, 1985.

National Research Council. Transportation Research Board., dir. Traffic flow theory : Simulation models, macroscopic flow relationships, and flow estimation and prediction. Washington, DC : National Academy Press, 1998.

Hughes, 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.

A, Viterna Larry, et Lewis Research Center, dir. ETARA PC version 3.3 user's guide : Reliability, availability, maintainability simulation model. Cleveland, Ohio : NASA Lewis Research Center, 1991.

A, Viterna Larry, et Lewis Research Center, dir. ETARA PC version 3.3 user's guide : Reliability, availability, maintainability simulation model. Cleveland, Ohio : NASA Lewis Research Center, 1991.

A, Viterna Larry, et Lewis Research Center, dir. ETARA PC version 3.3 user's guide : Reliability, availability, maintainability simulation model. Cleveland, Ohio : NASA Lewis Research Center, 1991.

National Institute of Standards and Technology (U.S.), dir. 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.

Mass, Clifford. A next-generation land surface model for the prediction of pavement temperature. [Olympia, Wash.] : Washington State Dept. of Transportation, 2003.

Wu, Helen. Evolutionary development of the Simulation by Logical Modeling System (SIBYL). [Washington, DC : National Aeronautics and Space Administration, 1995.

Chen, X. Modelling and predicting textile behaviour. Cambridge : Woodhead Publishing, 2010.

Brenner, Martin J. On-line robust modal stability prediction using wavelet processing. Edwards, Calif : National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

Rick, Lind, et Dryden Flight Research Facility, dir. On-line robust modal stability prediction using wavelet processing. Edwards, Calif : National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

Rick, Lind, et Dryden Flight Research Facility, dir. On-line robust modal stability prediction using wavelet processing. Edwards, Calif : National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

Rick, Lind, et Dryden Flight Research Facility, dir. On-line robust modal stability prediction using wavelet processing. Edwards, Calif : National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

Rick, Lind, et Dryden Flight Research Facility, dir. On-line robust modal stability prediction using wavelet processing. Edwards, Calif : National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

Ontario. 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.

Konnie, Wescott, et Brandon R. Joe 1967-, dir. Practical applications of GIS for archaeologists : A predictive modeling toolkit. London : Taylor and Francis, 2000.

Murray, Dryer, et Space Environment Laboratory, dir. 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.

Murray, Dryer, et Space Environment Laboratory, dir. 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.

Murray, Dryer, et Space Environment Laboratory, dir. 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.

Rangwala, Huzefa. Introduction to protein structure prediction : Methods and algorithms. Hoboken, N.J : Wiley, 2010.

Broughton, J. Simulation of the structure and predictive fouling of cellular ceramic membranes in both dead end and cross flow modes. Manchester : UMIST, 1994.

Facility, Dryden Flight Research, dir. 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.

Barber, 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.

Barber, 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.

Burnett, 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.

United States. National Aeronautics and Space Administration., dir. An RL10A-3-3A rocket engine model using the rocket engine transient simulator (ROCETS) software. [Washington, D.C.] : National Aeronautics and Space Administration, 1993.

Huang, Biao. Dynamic modelling and predictive control in solid oxide fuel cells : First principle and data-based approaches. Hoboken : John Wiley & Sons Inc., 2013.

Baranick, Michael, Mark Abdollahian, Brian Efird et Jack Kugler. Senturion : A predictive Polititcal Simulation Model. CreateSpace Independent Publishing Platform, 2012.