Experiment design for open-loop identification Optimal input design for system identification was an active area of research in the 1970’s, with different quality measures of the identified model being used for this optimal design [1–3]. The questions at that time addressed open-loo
In this work, optimal closed-loop test design for control is studied. Simple design formulas are der...
International audienceIt is well known that the quality of the parameters identified during an ident...
All approaches to optimal experiment design for control have so far focused on deriving an input sig...
In this paper we briefly review the evolution of the main tools and results for optimal experiment d...
Special Issue Dedicated to Brian Anderson on the Occasion of His 70th Birthday: Part IIInternational...
International audienceOptimal input design for system identification was an active area of research ...
Abstract: In this contribution we extend a recently developed framework for open loop input design t...
In this paper, we compare open-loop and closed-loop prediction error identification. In particular, ...
In this paper we analyse the strong optimality of open and closed loop experiments. In particular, w...
The problem of designing identification experiments to make them maximally informative with respect ...
Abstract Presented in this chapter is a tutorial on the design of input signals for system identific...
There are many aspects to consider when designing system identification experiments in control appli...
In this contribution we shall describe a rather unified way of expressing bias and variance in predi...
In this paper we establish the equivalence between least costly and traditional experiment design fo...
The links between identification and control are examined. The main trends in this research area are...
In this work, optimal closed-loop test design for control is studied. Simple design formulas are der...
International audienceIt is well known that the quality of the parameters identified during an ident...
All approaches to optimal experiment design for control have so far focused on deriving an input sig...
In this paper we briefly review the evolution of the main tools and results for optimal experiment d...
Special Issue Dedicated to Brian Anderson on the Occasion of His 70th Birthday: Part IIInternational...
International audienceOptimal input design for system identification was an active area of research ...
Abstract: In this contribution we extend a recently developed framework for open loop input design t...
In this paper, we compare open-loop and closed-loop prediction error identification. In particular, ...
In this paper we analyse the strong optimality of open and closed loop experiments. In particular, w...
The problem of designing identification experiments to make them maximally informative with respect ...
Abstract Presented in this chapter is a tutorial on the design of input signals for system identific...
There are many aspects to consider when designing system identification experiments in control appli...
In this contribution we shall describe a rather unified way of expressing bias and variance in predi...
In this paper we establish the equivalence between least costly and traditional experiment design fo...
The links between identification and control are examined. The main trends in this research area are...
In this work, optimal closed-loop test design for control is studied. Simple design formulas are der...
International audienceIt is well known that the quality of the parameters identified during an ident...
All approaches to optimal experiment design for control have so far focused on deriving an input sig...