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Polynomial Control Systems (2014)

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4.1 Standard Forms

Standard forms associated with the state-space model of a system are presented in Chapter 8 of Control System Professional. The Smith standard form of a polynomial matrix and the McMillan standard form of a rational polynomial matrix, presented here, can reveal further important system properties.

A linear continuous time-invariant system described by the state-space equations

where x(t) is an n × 1 vector of (state) variables, u(t) is a p × 1 vector of input functions, and y(t) is a q × 1 vector of outputs, can equally be described by the corresponding transfer-function representation

where

Any rational q × p matrix G(s) can be reduced to its McMillan form, as follows. Let d(s) be the monic least common denominator of G(s), and let G(s) be expressed as

where N(s) is a q × p polynomial matrix. By means of unimodular matrices L(s) and R(s), that is, nonsingular matrices whose determinants are independent of the variable s, N(s) can be reduced to its Smith form

where

where the i(s) are the invariant polynomials of N(s). The McMillan form of G(s) is then given by

where M(s) is the result of dividing the Smith form of N(s) by d(s), and canceling out all common factors that exist between numerator and denominator elements on the leading diagonal of M(s).

Example 4.1

Consider the transfer-function matrix

The Smith form of N(s) can be determined, as follows: Let fi (s) be the monic highest common factor of all i × i minors of N(s), that is, here

Then, the diagonal elements i(s) in the Smith form of N(s) are determined as

where the fi(s) are called the determinantal divisors of N(s), and f0(s)=1, always.

So, the Smith form of N(s) is

and the McMillan form of G(s) is