AbstractThis paper derives an input/output representation for infinite dimensional linear systems whose state transition operators are trace-class. The representation is an infinite dimensional autoregressive moving-average (ARMA) model whose coefficients are shown to decay faster than exponentially. The relationship between this ARMA model and the initial-value problem for an infinite dimensional state-space representation of the same system is established. It is shown that if a one-step-ahead output predictor is based on the infinite dimensional ARMA model, the predicted output will approach the output from the state-space initial-value problem faster than exponentially
We study the properties of an MA([infinity])-representation of an autoregressive approximation for a...
It is shown that an autoregressive moving average with exogenous input (ARMAX) system can be represe...
International audienceWe provide new sequential predictors for a largeclass of linear time-varying s...
AbstractThis paper derives an input/output representation for infinite dimensional linear systems wh...
This article explores alternative state space representations for ARMA models. We advocate represent...
AbstractWe consider the problem of determining state from input-output data, for systems with state ...
In the second part of this paper the problem of finding an exact model for a q-dimensional infinite ...
AbstractWe consider the question of bounded input, bounded output stability for time-invariant linea...
For a wide class of infinite-dimensional linear systems it is shown that if the state-space realizat...
This paper derives exact discrete time representations for data generated by a continuous time autor...
AbstractThe need to describe the input-output behavior of implicit differential systems arises in ma...
Introduction: Recently the development of numerically reliable algorithms for polynomial matrices ha...
input-output data can under the presence of process- and measurement noise be solved in a non-iterat...
A direct algorithm to estimate continuous-time ARMA (CARMA) models is proposed in this paper. In thi...
These lecture notes report on the use of automata theory in the study of infinite transition systems...
We study the properties of an MA([infinity])-representation of an autoregressive approximation for a...
It is shown that an autoregressive moving average with exogenous input (ARMAX) system can be represe...
International audienceWe provide new sequential predictors for a largeclass of linear time-varying s...
AbstractThis paper derives an input/output representation for infinite dimensional linear systems wh...
This article explores alternative state space representations for ARMA models. We advocate represent...
AbstractWe consider the problem of determining state from input-output data, for systems with state ...
In the second part of this paper the problem of finding an exact model for a q-dimensional infinite ...
AbstractWe consider the question of bounded input, bounded output stability for time-invariant linea...
For a wide class of infinite-dimensional linear systems it is shown that if the state-space realizat...
This paper derives exact discrete time representations for data generated by a continuous time autor...
AbstractThe need to describe the input-output behavior of implicit differential systems arises in ma...
Introduction: Recently the development of numerically reliable algorithms for polynomial matrices ha...
input-output data can under the presence of process- and measurement noise be solved in a non-iterat...
A direct algorithm to estimate continuous-time ARMA (CARMA) models is proposed in this paper. In thi...
These lecture notes report on the use of automata theory in the study of infinite transition systems...
We study the properties of an MA([infinity])-representation of an autoregressive approximation for a...
It is shown that an autoregressive moving average with exogenous input (ARMAX) system can be represe...
International audienceWe provide new sequential predictors for a largeclass of linear time-varying s...