A Markovian state-space framework for integrating flexibility into space system design decisions

A Markovian state-space framework for integrating flexibility into space system design decisions

The past decades have seen the state of the art in aerospace system design progress from a scope of simple optimization to one including robustness, with the objective of permitting a single system to perform well even in off-nominal future environments. Integrating flexibility, or the capability to...

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Bibliographic Details
Main Author: Lafleur, Jarret Marshall
Published: Georgia Institute of Technology 2012
Subjects:
DARPA
NASA
Fractionation
Human space exploration
Spaceflight
Markov decision processes
Pareto frontiers
Multi-attribute decision-making
Markov chains
Optimization
Pareto optimality
Systems engineering
System design
Space systems
Dynamic programming
Systems analysis
Evolvability
Flexibility
Markov processes
Space flight
Aeronautics Flights
Online Access:http://hdl.handle.net/1853/43749

Internet

http://hdl.handle.net/1853/43749

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