Libros sobre el tema "Second system of Estimation"

Banks, H. Thomas. Estimation of nonlinear damping in second order distributed parameter systems. Hampton, Va: ICASE, 1989.

Banks, H. Thomas. Estimation of nonlinear damping in second order distributed parameter systems. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

United States. National Aeronautics and Space Administration., ed. Parameter identification for nonlinear aerodynamic systems: First annual (second semiannual) technical report to the Aircraft Guidance and Controls Branch/489, Guidance and Control Division, National Aeronautics and Space Administration, Langley Research Center ... period covered, October 23, 1989 to October 22, 1990. [Washington, DC]: The Administration, 1990.

Power system state estimation. Boston, Mass: Artech House, 2013.

Pillai, S. Unnikrishna y Theodore I. Shim. Spectrum Estimation and System Identification. New York, NY: Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4613-8318-5.

Pillai, S. Unnikrishna. Spectrum Estimation and System Identification. New York, NY: Springer New York, 1993.

J, Wales Terence, ed. Demand system specification and estimation. New York: Oxford University Press, 1992.

Pieter, Eykhoff, Parks P. C, International Federation of Automatic Control., International Federation of Operational Research Societies. y IFAC/IFORS Symposium on Identifaction and System Parameter Estimation, (8th : 1988 : Beijing), eds. Identification and system parameter estimation. Oxford: Pergamon, 1990.

I, Shim Theodore, ed. Spectrum estimation and system identification. New York: Springer-Verlag, 1993.

Crassidis, John L. Optimal estimation of dynamic systems. Boca Raton: Chapman & Hall/CRC, 2004.

Czerwin, Benjamin James. Modeling and Estimation for the Renal System. [New York, N.Y.?]: [publisher not identified], 2021.

Gumerman, Robert C. Estimation of small system water treatment costs. Cincinnati, OH: U.S. Environmental Protection Agency, Water Engineering Research Laboratory, 1985.

Abur, Ali. Power system state estimation: Theory and implementation. New York, NY: Marcel Dekker, 2004.

C, Murphy Patrick. A methodology for airplane parameter estimation and confidence interval determination in nonlinear estimation problems. Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

Wyoming. State Highway Dept. Urban Transportation Planning Unit., Wyoming. State Highway Dept. y United States. Federal Highway Administration., eds. [Name of city] urban system study: Major street and highway system : report. [Cheyenne, Wyo.]: The Unit, 1988.

Nash, John C. Nonlinear parameter estimation: An integrated system in BASIC. Ottawa, Ontario, Canada: Nash Information Services, 1995.

Lake, R. W. AIRAIL: Preliminary system definition and cost estimation analysis. [Ottawa]: National Research Council Canada, Transportation Technology Program, 1990.

Chambers, Marcus J. Estimation of a continuous time dynamic demand system. [Colchester]: University ofEssex, Dept. of Economics, 1989.

Nash, John C. Nonlinear parameter estimation: An integrated system in BASIC. New York: M. Dekker, 1987.

Gradient estimation via perturbation analysis. Boston: Kluwer Academic Publishers, 1991.

Bohrer, Robert. Preliminary test estimation for the second order autoregression. Champaign: University of Illinois at Urbana-Champaign, 1992.

Maine, Richard E. Identification of dynamic systems: Theory and formulation. Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

Recursive nonlinear estimation: A geometric approach. Berlin: Springer, 1996.

Nicol, David. User's guide to the Reliabilty Estimation System Testbed (REST). [Washington, DC: National Aeronautics and Space Administration, 1992.

Nicol, David M. User's guide to the Reliability Estimation System Testbed (REST). [Washington, DC: National Aeronautics and Space Administration, 1992.

Kaplan, Jonathan D. Army Research Institute Validation-Estimation System (ARIVES) user's manual. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 1989.

Tabrizi, M. H. N. Model estimation and prediction for a water management system. Sheffield: University of Sheffield, Dept. of Control Engineering, 1989.

Guestrin, Elias Daniel. A novel head-free point-of-gaze estimation system. Ottawa: National Library of Canada, 2003.

Zhang, Ke. Observer-Based Fault Estimation and Accomodation for Dynamic Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Sunahara, Y. A method of boundary parameter estimation for a two-dimensional diffusion system under noisy observations. Hampton, Va: ICASE, 1987.

M, Milanese, ed. Bounding approaches to system identification. New York: Plenum Press, 1996.

Montana. Rail, Transit and Planning Division. Data and Statistics Bureau. Planning Systems Section. Rural congestion management system (CoMS): 2005 report. [Helena?, Mont.]: Montana Dept. of Transportation, 2005.

Ot͡s︡enivanie fazovogo sostoi͡a︡nii͡a︡ dinamicheskikh sistem: Metod ėllipsoidov. Moskva: "Nauka," Glav. red. fiziko-matematicheskoĭ lit-ry, 1988.

Iliff, Kenneth W. Extraction of aerodynamic parameters for aircraft at extreme flight conditions. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

Walter, E. Identification of parametric models from experimental data. Berlin: Springer, 1997.

Iliff, Kenneth W. Extraction of aerodynamic parameters for aircraft at extreme flight conditions. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

Facility, Dryden Flight Research, ed. Extraction of aerodynamic parameters for aircraft at extreme flight conditions. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

Schuermans, Stefan y Rainer Leupers. Power Estimation on Electronic System Level using Linear Power Models. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01875-7.

IFAC/IFORS Symposium on Identification and System Parameter Estimation (7th 1985 York). Identification and system parameter estimation 1985: 7th IFAC/IFORS Symposium. Oxford: Published for the International Federation of Automatic Control by Pergamon, 1985.

1952-, Kunisch K., ed. Estimation techniques for distributed parameter systems. Boston: Birkhäuser, 1989.

Belvin, W. Keith. On the state estimation of structures with second order observers. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

Abur, Ali y Antonio Gómez Expósito. Power System State Estimation. CRC Press, 2004. http://dx.doi.org/10.1201/9780203913673.

Power System State Estimation. New York: Marcel Dekker, Inc., 2004.

Exposito, Antonio Gomez y Ali Abur. Power System State Estimation. Taylor & Francis Group, 2004.

Lourenço, Elizete Maria y João Bosco Augusto London Junior, eds. Power Distribution System State Estimation. Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/pbpo183e.

Wales, Terence J. y Robert A. Pollak. Demand System Specification and Estimation. Oxford University Press, USA, 1995.

Wales, Terence J. y Robert A. Pollak. Demand System Specification and Estimation. Oxford University Press, 1992.

Lourenço, Elizete Maria y Bosco Augusto London, Joao, Jr. Power Distribution System State Estimation. Institution of Engineering & Technology, 2022.

Han-Fu, Chen, International Federation of Automatic Control. y International Federation of Operational Research Societies., eds. Identification and system parameter estimation 1988. Published for the International Federation of Automatic Control by Pergamon, 1989.

Abur, Ali y Antonio Gómez Expósito. Power System State Estimation: Theory and Implementation. Taylor & Francis Group, 2004.