Canonical structures in the identification of multivariable systems
Automatica (Journal of IFAC)
Basis of invariants and canonical forms for linear dynamic systems
Automatica (Journal of IFAC)
Survey paper: Errors-in-variables methods in system identification
Automatica (Journal of IFAC)
Paper: Uniquely identifiable state-space and ARMA parametrizations for multivariable linear systems
Automatica (Journal of IFAC)
Brief Minimal representations of MIMO time-varying systems and realization of cyclostationary models
Automatica (Journal of IFAC)
Brief Optimal errors-in-variables filtering
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Software for weighted structured low-rank approximation
Journal of Computational and Applied Mathematics
Hi-index | 22.16 |
The basic definitions regarding invariant functions and canonical forms for an equivalence relation on a generic set are first recalled. With reference to observable state space models and to the equivalence relation induced by a change of basis it is then shown how the image of a complete set of independent invariants for the considered equivalence relation can be used to parametrize a subset of canonical forms in the given set. Then the set of polynomial input-output models of the type P(z)y(t)=Q(z)u(t) and the equivalence relation induced by the premultiplication of P and Q by a unimodular matrix are considered and canonical forms parametrized by a complete set of independent invariants introduced. Since the two sets of canonical forms share common sets of complete independent invariants, very simple algebraical links between state space and input-output canonical forms can be deduced. The previous results are used to design efficient algorithms solving the problem of the canonical structural and parametric realization and identification of generic input-output sequences generated by a linear, discrete, time-invariant multivariable system. The results obtained in the identification of a real process are then reported.