Input-output invariants for linear multivariable systems

The problem of parameterization of the input-output relation of constant finite-dimensional linear multivariable systems is considered. As a first result it is shown that a precisely defined set of entries of the Markov parameters of a system constitutes a complete set of independent invariants of t...

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Bibliographic Details
Published in:IEEE transactions on automatic control 1980-02, Vol.25 (1), p.20-36
Main Authors: Bosgra, O., van der Weiden, A.
Format: Article
Language:English
Subjects:
Density estimation robust algorithm
Geometry
Kalman filters
MIMO
Prototypes
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Summary:The problem of parameterization of the input-output relation of constant finite-dimensional linear multivariable systems is considered. As a first result it is shown that a precisely defined set of entries of the Markov parameters of a system constitutes a complete set of independent invariants of the system. Specializing this result a new complete set of invariants is derived in which the input and output Kronecker indices and a canonical permutation constitute the structural invariants, whereas the set of numerical parameters in the set of invariants directly defines the parameters in a related new canonical form. The number of numerical parameters involved may be strictly less than the number of parameters in existing canonical forms. The results have been obtained by formulating a realization problem in terms of Rosenbrock's concept of a system matrix. Prototype algorithms for obtaining the proposed invariants from a state-space description or from a sequence of Markov parameters are presented.
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.1980.1102260