System-of-Systems Engineering - Liophant Simulation

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Creating Surrogates for Stochastic Models1. Run a small number of repetitions (10-20) to get anidea of the distribution of the outputs2. If it appears normal and non-modal, perform a t-testto determine the number of repetitions required forthe desired accuracy3. If it appears non-normal and non-modal, run a t-testto get a ballpark estimate for the number ofrepetitions, and assume at least a 20% increase in thisnumber will be required4. If it appears modal, perform testing to determinewhat factors are driving the modes, and follow theprocess for fitting surrogates of modal distributionsDeveloping Methods and Techniques for System of Systems EngineeringDr. Dimitri Mavris, dimitri.mavris@ae.gatech.edu46
Enablers for Complex SoS• Design of ComputerSimulations– Space Filling Designs– Adaptive DoE• Modeling and SimulationTechniques– Agent-based modeling andconstructive simulations– System Dynamics Modeling– Discrete Event Simulation– Mathematical Modeling Techniques• Non-linear SurrogateModeling– Neural Networks– Kriging/Gaussian– Stepwise RSE• Probabilistic Theory– Stochastic modeling– Surrogate modeling of stochasticprocesses– Monte Carlo Simulation• Visual AnalyticsDeveloping Methods and Techniques for System of Systems EngineeringDr. Dimitri Mavris, dimitri.mavris@ae.gatech.edu47
Page 1 and 2: Developing Methods and Techniques f
Page 3 and 4: The Aerospace Systems Design Labora
Page 5 and 6: Motivation- Emphasis on “Early-Ph
Page 7 and 8: What is a system?“A set of functi
Page 9 and 10: System of Systems• “A set or ar
Page 11 and 12: What is SoSE?• System of Systems
Page 13 and 14: The Evolution of New Ideas“All tr
Page 15 and 16: What is needed for this New Paradig
Page 17 and 18: An Architecture-based Approach to S
Page 19 and 20: The System Alternative Space• The
Page 21 and 22: The Architecture-based Technology E
Page 23 and 24: Extension to Systems-of-Systems Ana
Page 25 and 26: Fundamental Properties of a Complex
Page 27 and 28: Enablers for Complex SoS• Design
Page 29 and 30: Design of Experiments• Design of
Page 31 and 32: Design of Computer Simulation• Co
Page 33 and 34: Agent-Based Behavioral Modeling•
Page 35 and 36: System Dynamics Modeling• System
Page 37 and 38: Discrete Event Simulations• Discr
Page 41 and 42: Surrogate ModelsWhy do we use surro
Page 43 and 44: Challenges to Surrogate Modeling fo
Page 45: Fitting Modal ResponsesDeveloping M
Page 51 and 52: Pareto Optimal Solutions in Many Di
Page 53 and 54: Interactive Electronic Design Revie
Page 55 and 56: Collaboration and Integration in So
Page 57 and 58: Concluding Remarks• System of Sys
Page 59 and 60: Selecting a DesignDeveloping Method
Page 61 and 62: A New Paradigm Shift: Simulation Ba
Page 63 and 64: Which are simple? Which arecomplica
Page 65 and 66: What is a Markov Chain• Markov Ch
Page 67 and 68: Markov Chains• The transition pro

System-of-Systems Engineering - Liophant Simulation

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