Books on the topic 'Distributed space system'

D'Errico, Marco, ed. Distributed Space Missions for Earth System Monitoring. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4541-8.

D'Errico, Marco. Distributed Space Missions for Earth System Monitoring. New York, NY: Springer New York, 2013.

Kecman, V. State-space models of lumped and distributed systems. Berlin: Springer-Verlag, 1988.

United States. National Aeronautics and Space Administration., ed. Final report to National Aeronautics and Space Administration on Database Interfaces on NASA's Heterogeneous Distributed Database System. [Washington, DC?: National Aeronautics and Space Administration, 1990.

Rowe, Andrew W. High-accuracy distributed sensor time-space-position information system for captive-carry field experiments. Monterey, Calif: Naval Postgraduate School, 1996.

United States. National Aeronautics and Space Administration., ed. The development of a post-test diagonostic system for rocket engines. [Washington, D.C.]: National Aeronautics and Space Administration, 1991.

United States. National Aeronautics and Space Administration., ed. The development of a post-test diagonostic system for rocket engines. [Washington, D.C.]: National Aeronautics and Space Administration, 1991.

United States. National Aeronautics and Space Administration, ed. Final report to National Aeronautics and Space Administration on resident database interfaces to the DAVID system, a heterogeneous distributed database management system. [Washington, D.C: National Aeronautics and Space Administration, 1988.

Goddard DAAC (Goddard Space Flight Center). User Services Office, ed. The Goddard DAAC: Distributed Active Archive Center : a source for global earth science data. Greenbelt, MD: User Services Office, Goddard DAAC, NASA Goddard Space Flight Center, 1995.

Kecman, V., ed. State-Space Models of Lumped and Distributed Systems. Berlin/Heidelberg: Springer-Verlag, 1988. http://dx.doi.org/10.1007/bfb0040972.

van Keulen, Bert. H∞-Control for Distributed Parameter Systems: A State-Space Approach. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4612-0347-6.

F, Schlegelmilch Richard, and United States. National Aeronautics and Space Administration., eds. A model-based expert system for space power distributio diagnostics. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

F, Schlegelmilch Richard, and United States. National Aeronautics and Space Administration., eds. A model-based expert system for space power distributio diagnostics. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

L, Dolce James, Krupp Joseph C, and United States. National Aeronautics and Space Administration., eds. Electric power scheduling: A distributed problem-solving approach. [Washington, D.C.]: NASA, 1990.

Keulen, Bert van. H [infinity]-control for distributed parameter systems: A state space approach. Boston: Birkhäuser, 1993.

Joshua, Gluckman, Nicol David, and Institute for Computer Applications in Science and Engineering., eds. Distributed state-space generation of discrete-state stochastic models. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

Joshua, Gluckman, Nicol David, and Institute for Computer Applications in Science and Engineering., eds. Distributed state-space generation of discrete-state stochastic models. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

Joshua, Gluckman, Nicol David, and Institute for Computer Applications in Science and Engineering., eds. Distributed state-space generation of discrete-state stochastic models. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

Chenkun, Qi, and SpringerLink (Online service), eds. Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach. Dordrecht: Springer Netherlands, 2011.

Bravais, Auguste. On the systems formed by points regularly distributed on a plane or in space. New York: Dover, 2005.

Balakrishnan, A. V. Application of optical distributed sensing and computation to control of large space structures: Final technical report on NASA grant, NAG 11-1074. [Washington, DC: National Aeronautics and Space Administration, 1992.

United States. National Aeronautics and Space Administration., ed. Final technical report on robust design of distributed controllers for large flexible space structures. Washington, DC: Catholic University of America, School of Engineering and Architecture, Dept. of Electrical Engineering, 1988.

Yao, Shen Ji, and United States. National Aeronautics and Space Administration., eds. Final report on the project Computational control of flexible aerospace systems (grant no. NAG-1-1436). Greensboro, N.C: North Carolina A&T State University, 1994.

Yao, Shen Ji, and United States. National Aeronautics and Space Administration., eds. Final report on the project Computational control of flexible aerospace systems (grant no. NAG-1-1436). Greensboro, N.C: North Carolina A&T State University, 1994.

Moe, Nils Brede, Darja S̆mite, and Pär J. Ågerfalk. Agility across time and space: Implementing agile methods in global software projects. Berlin: Springer, 2010.

United States. National Aeronautics and Space Administration., ed. General specifications for the development of a USL/DBMS NASA/PC R&D distributed workstation. Lafayette, La: University of Southwestern Louisiana, Computer Science Dept., 1989.

B, Marks Virginia, Keckler Claude R, and Langley Research Center, eds. NASA Workshop on Distributed Parameter Modeling and Control of Flexible Aerospace Systems: Proceedings of a workshop sponsored by tne National Aeronautics and Space Administration, Washington, D.C. and held in Williamsburg, Virginia, June 8-10, 1992. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

NASA Workshop on Distributed Parameter Modeling and Control of Flexible Aerospace Systems (1992 Williamsburg, Va.). NASA Workshop on Distributed Parameter Modeling and Control of Flexible Aerospace Systems: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C. and held in Williamsburg, Virginia, June 8-10, 1992. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

Force, United States Air, University of Houston-Clear Lake, Lyndon B. Johnson Space Center, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, eds. First Annual Workshop on Space Operations Automation and Robotics (SOAR '87): Proceedings of a workshop. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

Force, United States Air, University of Houston-Clear Lake, Lyndon B. Johnson Space Center., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. First Annual Workshop on Space Operations Automation and Robotics (SOAR '87): Proceedings of a workshop. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

United States. National Aeronautics and Space Administration., ed. Proceedings, Computer Science and Data Systems Technical Symposium: Proceedings of a symposium held at the Xerox Training Center, Leesburg, Virginia, Apr. 16-18, 1985. [Washington, D.C: National Aeronautics and Space Administration, 1985.

SAVEL'EVA, Ekaterina, Anna Fedchenko, and Ol'ga Gegechkori. Fundamentals of labor organization in digital ecosystems. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1063619.

B, Marks Virginia, Keckler Claude R, and United States. \b National Aeronautics and Space Administration., eds. NASA workshop on distributed parameter modeling and control of flexible aerospace systems: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C., and held in Williamsburg, Virginia, June 8-10, 1992. Hampton, Va: National Aeronautics and Space Administration, Langley Researcha Center, 1994.

Matthew, O'Keefe, Kerr Christopher, United States. Dept. of Energy. Office of Biological and Environmental Research., and Goddard Space Flight Center, eds. Second International Workshop on Software Engineering and Code Design in Parallel Meteorological and Oceanographic Applications: Proceedings of a workshop sponsored by the U.S. Department of Energy, Office of Biological and Environmental Research; the Department of Defense, High Performance Computing and Modernization Office; and the NASA Goddard Space Flight Center, Seasonal-to-Interannual Prediction Project, and held at the Camelback Inn, Scottsdale, Arizona, June 15-18, 1998. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1998.

D'Errico, Marco. Distributed Space Missions for Earth System Monitoring. Springer, 2014.

Distributed Space Missions For Earth System Monitoring. Springer, 2012.

Scott, Matthew J. Using Clotho to create and manage a consistent distributed file system name space. 1994.

Solar System Modeler: A Distributed, Virtual Environment for Space Visualization and GPS Navigation. Storming Media, 1996.

High-Accuracy Distributed Sensor Time-Space-Position Information System for Captive-Carry Field Experiments. Storming Media, 1996.

State-Space Models of Lumped and Distributed Systems. Springer, 1988.

Keulen, Bert Van. H? Control for Distributed Parameter Systems: A State-Space Approach. Springer, 2012.

H∞-Control for Distributed Parameter Systems: A State-Space Approach. Birkhäuser, 2012.

Distributed Spacetime Coding. Springer-Verlag New York Inc., 2013.

Simone D′Amico and Matthew B. Willis. Distributed Space Systems: Dynamics, Navigation, and Control of Multi-Satellite Missions. Wiley & Sons, Limited, John, 2024.

Keulen, Bert van. H∞-Control for Distributed Parameter Systems: A State-Space Approach. Birkhauser Verlag, 2012.

Human-computer interaction in distributed supervisory control tasks: Semi-annual report. Atlanta, Ga: Center for Human-Machine Systems Research, School of Industrial & Systems Engineering, Georgia Institute of Technology, 1989.

Qi, Chenkun, and Han-Xiong Li. Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach. Springer Netherlands, 2014.

Moe, Nils Brede, Darja Mite, and P. R. J. Gerfalk. Agility Across Time and Space. Springer, 2010.

Issues and Recommendations Associated with Distributed Computation and Data Management Systems for the Space Sciences. Washington, D.C.: National Academies Press, 1986. http://dx.doi.org/10.17226/12343.

Advanced optical sensing and processing technologies for the distributed control of large flexible spacecraft. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1991.