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Systematic application of model reduction methods allows implementing this modeling principle and finding models of minimal complexity compatible with the data.
Vibration control of structures is confronted with many problems like the proper selection of modelling methods, controllability and observability of models, model size and model reduction methods.
This invariably induces the use of time scale assumptions and consequently model reduction methods.
The equations of motion are transformed into modal space where model reduction methods are applied.
This technique is combined with both linear and nonlinear model reduction methods.
The model reduction methods available and the choice of master coordinates are considered.
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In this paper, an accurate model reduction method was established to reduce the radiator model.
Accordingly, a robust model reduction method is then employed in the state space.
Limitations of the model reduction method in predicting secondary (derived) quantities are discussed.
In this discussion, we present and analyse a model reduction method that is based on stoichiometry and mass balances.
One such model reduction method is the wavelet multiscale inverse analysis (Lu and Horne 2000; Sahni and Horne 2005, 2006a, b; Awotunde and Horne 2011a, b, 2012, 2013).
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