We consider the problem of ensuring the identifiability of the parameters of a multivariable linear system by means of feedback control. It is shown that parameter identifiability can be generically ensured using time-varying (switching) controllers. Moreover, this property holds true for any, arbitrarily small, data observation window. Some practical aspects of the problem are also dealt with, including controller design and multimodel least-squares estimation.</p
In this paper, we propose an adaptive data-driven control approach for linear time varying systems, ...
We consider the stabilization problem of a discrete-time system that switches among a finite set of ...
Based on the extension of the behavioral theory and the Fundamental Lemma for Linear Parameter-Varyi...
We consider the problem of ensuring the identifiability of the parameters of a multivariable linear ...
This paper deals with system identification for control of linear parametervarying systems. In pract...
An identification-free control design strategy for discrete-time linear time-varying systems with un...
Motivated by the goal of learning controllers for complex systems whose dynamics change over time, w...
This paper describes recent progress in the study of switching linear systems i.e. linear systems wh...
The parameter identification problem of general discrete time, nonlinear, multiple input/multiple ou...
The consistency of certain identification methods for Linear Parameter Varying systems is considered...
Identifiability of linear dynamic networks typically depends on the presence and location of externa...
This thesis treats the problem of direct adaptive control of linear multivariable systems. The param...
International audienceLinear parameter varying (LPV) models are being increasingly used as a bridge ...
open3noThis paper deals with the problem of adaptive output regulation for linear multivariable syst...
This paper presents a model reference adaptive control scheme for deterministic continuous-time mult...
In this paper, we propose an adaptive data-driven control approach for linear time varying systems, ...
We consider the stabilization problem of a discrete-time system that switches among a finite set of ...
Based on the extension of the behavioral theory and the Fundamental Lemma for Linear Parameter-Varyi...
We consider the problem of ensuring the identifiability of the parameters of a multivariable linear ...
This paper deals with system identification for control of linear parametervarying systems. In pract...
An identification-free control design strategy for discrete-time linear time-varying systems with un...
Motivated by the goal of learning controllers for complex systems whose dynamics change over time, w...
This paper describes recent progress in the study of switching linear systems i.e. linear systems wh...
The parameter identification problem of general discrete time, nonlinear, multiple input/multiple ou...
The consistency of certain identification methods for Linear Parameter Varying systems is considered...
Identifiability of linear dynamic networks typically depends on the presence and location of externa...
This thesis treats the problem of direct adaptive control of linear multivariable systems. The param...
International audienceLinear parameter varying (LPV) models are being increasingly used as a bridge ...
open3noThis paper deals with the problem of adaptive output regulation for linear multivariable syst...
This paper presents a model reference adaptive control scheme for deterministic continuous-time mult...
In this paper, we propose an adaptive data-driven control approach for linear time varying systems, ...
We consider the stabilization problem of a discrete-time system that switches among a finite set of ...
Based on the extension of the behavioral theory and the Fundamental Lemma for Linear Parameter-Varyi...
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