Model reduction by minimizing the weighted equation error
- 1 December 1981
- journal article
- research article
- Published by Taylor & Francis in International Journal of Control
- Vol. 34 (6) , 1113-1123
- https://doi.org/10.1080/00207178108922585
Abstract
A method for model reduction is proposed which minimizes the equation error and yields a stationary exact model. With this model, the desired state variables, or their physically meaningful linear combinations, are reproduced. This approach to the reduction problem leads to linear equations; thus no search routines are needed. Moreover, a time-varying weighting matrix is introduced, so that even unstable linear time-invariant models can be reduced. Especially, the characteristics of very low order reduced models depend highly on the weighting matrix. The reduction for a distillation column of the 45th-order is carried out.Keywords
This publication has 1 reference indexed in Scilit:
- A method for modeling linear time-invariant systems by linear systems of low orderIEEE Transactions on Automatic Control, 1976