Suppose a six degree of freedom simulation of an aircraft, which some aerodynamic parameters (e.g: stability derivatives), mass configuration (e.g center of mass) and etc, are randomly choose within known bounds. From the Monte Carlo sample those simulations are split in two groups: with instability (any time during the simulation) and without instability during the flight.
My question is, How could I find the more important combination of random parameters the caused the instability in flight?
I have already done a sensitivity analysis, so I have an idea how each one influence individually. What I really one to find is how the combination of parameter is causing the instability.
Dear Adolfo,
I suggest you to see links and attached files on topic.
https://www.goldsim.com/web/home/
http://www.lasar.polimi.it/?page_id=611
Article Conditional Monte Carlo method for dynamic systems with rand...
Best regards
Please read the book by
Proakis
On
Contemporary Communication Systems
From
Northeastern University
If you have a method for saving your random inputs for each run of the model, you can filter out your runs that result in instability and explore the range and frequency of inputs for these outcomes.
Dear Adolfo Silva ;
Please read this book:
Monte Carlo Simulation of Dynamical Systems of Engineering Interest in a Massively Parallel Computing Environment: an Application of Genetic Algorithms
- Erik A. Johnson
- Lawrence A. Bergman
- David E. Goldberg
- Shirley J. Dyke Best regards
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