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
A revised version was published as Preprint 29-2008.Many model reduction techniques take a semi-disc...
In this thesis we consider the output regulation problem consisting of choosing a controller to asym...
AbstractInstead of the usual AR(MA)X- or VAR (vector autoregressive) modelling, procedures will be d...
AbstractThis paper derives an input/output representation for infinite dimensional linear systems wh...
This preprint is a completely revised version of Preprint 2006-06. For more details see the disserta...
Bibliography: leaves [21]-22.Research supported by Air Force Office of Scientific Research under Gra...
AbstractA causal input–output system operating for all time from the indefinite past to the indefini...
A formal framework is set up for the discussion of generalized autoregressive with external input mo...
AbstractApproximate L2-optimal predictor and filter is derived for partially observed vector autoreg...
Abstract-In this paper, dynamic practical stability properties of infinite-dimensional sampled-data ...
We provide new sequential predictors for a large class of linear time-varying systems that contain c...
AbstractWe consider the problem of determining state from input-output data, for systems with state ...
AbstractThis paper discusses the asymptotic properties of estimators of ARMAX systems under weak low...
This article explores alternative state space representations for ARMA models. We advocate represent...
AbstractWe consider the question of bounded input, bounded output stability for time-invariant linea...
A revised version was published as Preprint 29-2008.Many model reduction techniques take a semi-disc...
In this thesis we consider the output regulation problem consisting of choosing a controller to asym...
AbstractInstead of the usual AR(MA)X- or VAR (vector autoregressive) modelling, procedures will be d...
AbstractThis paper derives an input/output representation for infinite dimensional linear systems wh...
This preprint is a completely revised version of Preprint 2006-06. For more details see the disserta...
Bibliography: leaves [21]-22.Research supported by Air Force Office of Scientific Research under Gra...
AbstractA causal input–output system operating for all time from the indefinite past to the indefini...
A formal framework is set up for the discussion of generalized autoregressive with external input mo...
AbstractApproximate L2-optimal predictor and filter is derived for partially observed vector autoreg...
Abstract-In this paper, dynamic practical stability properties of infinite-dimensional sampled-data ...
We provide new sequential predictors for a large class of linear time-varying systems that contain c...
AbstractWe consider the problem of determining state from input-output data, for systems with state ...
AbstractThis paper discusses the asymptotic properties of estimators of ARMAX systems under weak low...
This article explores alternative state space representations for ARMA models. We advocate represent...
AbstractWe consider the question of bounded input, bounded output stability for time-invariant linea...
A revised version was published as Preprint 29-2008.Many model reduction techniques take a semi-disc...
In this thesis we consider the output regulation problem consisting of choosing a controller to asym...
AbstractInstead of the usual AR(MA)X- or VAR (vector autoregressive) modelling, procedures will be d...