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model reduction

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model reduction [′mäd·əl ri′dək·shən]
(control systems)
The process of discarding certain modes of motion while retaining others in the model used by an active control system, in order that the control system can compute control commands with sufficient rapidity.


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The models differed in approach and age of dogs considered by necessity of the model, number of estimated parameters, or model reduction.
[FIGURE 11 OMITTED] Model Reduction The linearized models are saved as state-space models with three inputs, one output, and 45 states, as there are three chambers each having 15 states (three slices per chamber with five integrators associated with five temperatures).
They describe analysis with mathematical models that describe interactions (generally of mass, energy and charge transport phenomena), index analysis of models, parameter identification, steady state and dynamic process analysis, hot spot formation and steady state multiplicity, conceptual design and reforming concepts, model reduction and state estimation, optimal control strategies, and optimization of reforming catalyst distribution.
 
 
 
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