Thriving in the irregular and the unknown: System control for space exploration

A Collection of Technical Papers - 1st Space Exploration Conference: Continuing the Voyage of Discovery

Volumn 2, Issue , 2005, Pages 1022-1032

  Rilee, Michael L ^a,d,e   Curtis, Steven A ^b,e,f   Dorband, John E ^b,e,g   Cheung, Cynthia Y ^b,d,e   Lary, David E ^b,h   Mussa, Hamse Y ^c,i  

^a L 3 Communications GSI   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d Planetary Magnetospheres Lab   (United States)

^e AIAA   (United States)

^f Solar System Exploration Planetary Magnetospheres Lab

^g NASA/GSFC 931   (United States)

^h Global Modeling and Assimilation Office   (United States)

ⁱ UNILEVER RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS SYSTEMS; HEURISTIC SYSTEMS; PATENT APPLICATIONS; SYSTEM INFRASTRUCTURE;

AUTONOMOUS AGENTS; COMPUTER ARCHITECTURE; COMPUTER HARDWARE; COMPUTER SOFTWARE; HEURISTIC METHODS; SPACE APPLICATIONS;

SPACE RESEARCH;

EID: 28744434055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Curtis, S. A., J. Mica, J. Nuth, G. Marr, M. Rilee, and M. Bhat, ANTS (Autonomous Nano-Technology Swarm): An Artificial Intelligence Approach to Asteroid Belt Resource Exploration, International Aeronautical Federation, 51st Congress, October, 2000.
2. Curtis, S., M. Rilee, W. Truszkowski, C. Cheung, and P. Clark, Neural Basis Function Control of Super Micro Autonomous Reconfigurable Technology (SMART) Nanosystems, AIAA-2004-6304, AIAA 1st Intelligent Systems Technical Conference, Chicago, Illinois, Sep. 20-22, 2004.
3. NASA Goddard Space Flight Center, Prov. Patent applications GSFC 4657,14762,14763,14764,14848,14849,14850,14858, and 14859.
4. The Distributed Space Systems: http://gsfctechnology.gsfc.nasa.gov/ focusAreas/dss.htm [cited 17 January 2005].
5. Lary, D., Müller, M. and Mussa, H., Using neural networks to describe tracer correlations Atmospheric Chemistry and Physics, Vol. 4, pp 143-146, 31-1-2004;
6. Lary, D. and Mussa, H., Using an extended Kalman filter learning algorithm for feed-forward neural networks to describe tracer correlations, Atmospheric Chemistry and Physics Discussions, Vol. 4, pp 3653-3667, 30-6-2004.
7. Cheung, C., S. Curtis, P. Yeh, M. Rilee, P. Clark and W. Truszkowski, Intelligent Systems in the Evolvable ANTS Architecture, AIAA-2004-6302, AIAA 1st Intelligent Systems Technical Conference, Chicago, Illinois, Sep. 20-22, 2004.
8. Rilee, M., S. Curtis, C. Cheung and J. Dorband, Evolving a Self-organizing Neuromechanical System for Self-healing Aerospace Structures, AIAA-2004-6703, CANEUS 2004 Conference on Micro-Nano-Technologies, Monterey, California, Nov. 1-5, 2004
9. The Java Astrodynamics Toolkit project website is http://jat.sourceforge. net/ [cited 17 January 2005].