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In the previous section, we discussed a general and systematic method that allows for significant and exact model reductions of combinatorial reaction networks.
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Model reduction of linear parameter-varying controller is then considered.
Model reduction of large scale systems is an actively researched area of modelling and control.
We perform a model reduction of mechanics, pressure, flows and balance equations.
Procedures and algorithms for system identification and model reduction of rational systems are proposed.
Our method essentially uses the model reduction of the original linear control system.
New methods for nonlinear model reduction of dynamic models, described by nonlinear differential equations have been developed.
This systematic methodology incorporates the advanced concept of proper orthogonal decomposition for the model reduction of distributed parameter systems.
Controllability quantification and model reduction of complex systems play an important role in many scientific and engineering fields.
The paper concludes with a demonstration of the proposed approach to the model reduction of a solar collector plant.
An iterative dynamic condensation method for the model reduction of viscously damped vibration systems is presented in this paper.
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