Statistics – Computation
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002stin...0252612b&link_type=abstract
Technical Report, North Carolina State Univ. Raleigh, NC United States
Statistics
Computation
Mars Landing, Software Development Tools, Neural Nets, Atmospheric Density, Atmospheric Entry, Deployment, Intelligence, Launching
Scientific paper
A Mars precision landing requires a landed footprint of no more than 100 meters. Obstacles to reducing the landed footprint include trajectory dispersions due to initial atmospheric entry conditions such as entry angle, parachute deployment height, environment parameters such as wind, atmospheric density, parachute deployment dynamics, unavoidable injection error or propagated error from launch, etc. Computational Intelligence (CI) techniques such as Artificial Neural Nets and Particle Swarm Optimization have been shown to have great success with other control problems. The research period extended previous work on investigating applicability of the computational intelligent approaches. The focus of this investigation was on Particle Swarm Optimization and basic Neural Net architectures. The research investigating these issues was performed for the grant cycle from 5/15/01 to 5/15/02. Matlab 5.1 and 6.0 along with NASA's POST were the primary computational tools.
Birge Brian
Walberg Gerald
No associations
LandOfFree
A Computational Intelligence (CI) Approach to the Precision Mars Lander Problem does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Computational Intelligence (CI) Approach to the Precision Mars Lander Problem, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Computational Intelligence (CI) Approach to the Precision Mars Lander Problem will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1689541