Книги з теми "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, and 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., and 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., and 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, and 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, and 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, and Ali Abur. Power System State Estimation. Taylor & Francis Group, 2004.

Lourenço, Elizete Maria, and 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., and Robert A. Pollak. Demand System Specification and Estimation. Oxford University Press, USA, 1995.

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

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

Han-Fu, Chen, International Federation of Automatic Control., and 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, and Antonio Gómez Expósito. Power System State Estimation: Theory and Implementation. Taylor & Francis Group, 2004.