AbstractA necessary and sufficient condition for input identifiability for linear autonomous systems is given. The result is based on a finite iterative process and its proof relies on elementary arguments involving matrices, finite dimensional linear spaces, Gronwall’s lemma, and linear differential systems. Our condition is equivalent to the classical condition involving the geometrical concept of controlled invariant [V. Basile, G. Marro, Controlled and Conditioned Invariants in Linear System Theory, Prentice Hall, Englewood Cliffs, NJ, 1992, p. 237] and the dimension reduction algorithm that we propose seems to be useful in designing deconvolution methods
Abstract It has been experimentally verified that most commonly used subspace methods for identifica...
Abstract — This paper introduces the notion of absolutely distinguishable discrete dynamic systems, ...
Abstract- This paper presents a simple method to design a full-order observer for linear systems wit...
AbstractA necessary and sufficient condition for input identifiability for linear autonomous systems...
We state necessary and sufficient conditions for one finite length input-output trajectory to determ...
htmlabstractIn this paper we study the identifiability of linear switched systems (LSSs) in discrete...
In time-domain identification of linear systems the aim is to estimate the impulse response or trans...
We study identifiability for linear, continuous time-invariant systems. We state sufficient conditio...
We study identifiability for linear, continuous time-invariant systems. We state sufficient conditio...
Abstract—This paper establishes identifiability and in-formativity conditions for a class of determi...
This chapter takes a new look at the concept of identifiability and of informative experiments for l...
AbstractIn time-domain identification of linear systems the aim is to estimate the impulse response ...
This thesis is concerned with characterizing abstractly situations in which system identification is...
International audienceDifferent notions of identifiability are available for discrete-time nonlinear...
AbstractThe identifiability of abstract classes of input-output systems from a finite set of input-o...
Abstract It has been experimentally verified that most commonly used subspace methods for identifica...
Abstract — This paper introduces the notion of absolutely distinguishable discrete dynamic systems, ...
Abstract- This paper presents a simple method to design a full-order observer for linear systems wit...
AbstractA necessary and sufficient condition for input identifiability for linear autonomous systems...
We state necessary and sufficient conditions for one finite length input-output trajectory to determ...
htmlabstractIn this paper we study the identifiability of linear switched systems (LSSs) in discrete...
In time-domain identification of linear systems the aim is to estimate the impulse response or trans...
We study identifiability for linear, continuous time-invariant systems. We state sufficient conditio...
We study identifiability for linear, continuous time-invariant systems. We state sufficient conditio...
Abstract—This paper establishes identifiability and in-formativity conditions for a class of determi...
This chapter takes a new look at the concept of identifiability and of informative experiments for l...
AbstractIn time-domain identification of linear systems the aim is to estimate the impulse response ...
This thesis is concerned with characterizing abstractly situations in which system identification is...
International audienceDifferent notions of identifiability are available for discrete-time nonlinear...
AbstractThe identifiability of abstract classes of input-output systems from a finite set of input-o...
Abstract It has been experimentally verified that most commonly used subspace methods for identifica...
Abstract — This paper introduces the notion of absolutely distinguishable discrete dynamic systems, ...
Abstract- This paper presents a simple method to design a full-order observer for linear systems wit...