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Lecture 9 – Modeling, Simulation, and Systems Engineering

EE392m - Spring 2005 GorinevskyControl Engineering9-1 Lecture 9 Modeling, Simulation, and Systems Engineering Development steps Model-based control Engineering Modeling and simulation Systems platform: hardware, Systems software. EE392m - Spring 2005 GorinevskyControl Engineering9-2 Control Engineering Technology Science abstraction concepts simplified models Engineering building new things constrained resources: time, money, Technology repeatable processes Control platform technology Control Engineering technologyEE392m - Spring 2005 GorinevskyControl Engineering9-3 Controls development cycle Analysis and modeling Control algorithm design using a simplified model System trade study - defines overall system design Simulation Detailed model.

Control Engineering 9-10 ( , ,) ( , , ) y g x u t x f x u t = &= Modeling approaches • Controls analysis uses deterministic models. Randomness and uncertainty are usually not dominant. • White box models: physics described by ODE and/or PDE • Dynamics, Newton mechanics • Space flight: add control inputs u and measured outputs y x&= f (x,t)

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