Linear system reduction by the modified factor division method
A novel method of linear system simplification is presented based on a modified factor division approach. It is seen to be more flexible than most model reduction methods in that families of reduced models may be easily generated by varying a single parameter in the modified transfer function denominator. It also guarantees stable reduced models of stable systems and preserves initial time moments and Markov parameters of the system. An example illustrates its application.
