IEEE Transactions on Automatic Control, Vol.39, No.10, 2126-2129, 1994
Reduction of Linear Continuous-Time Multivariable Systems by Matching First-Order and 2nd-Order Information
This paper considers the approximation of stable continuous-time multivariable linear systems from a finite number of Markov parameters and second-order information indexes. It is shown that, by properly choosing these indexes, it is possible to uniquely identify an input-output model of given order from an equal number of first- and second-order data.