This paper presents the author's views on the development of identification for control. The paper reviews the emergence of this subject as a specific topic over the last 15 years, at the boundary between system identification and robust control. It shows how the early focus on identification of control-oriented nominal models has progressively shifted towards the design of control-oriented uncertainty sets. This recent trend has given rise to an important revival of interest in experiment design issues in system identification. Some recent results on experiment design are presented
The effectiveness of model-based multivariable controllers depends on the quality of the model used....
Control-relevance is a paradigm that interconnects identification with successive model-based contro...
Control-relevance is a paradigm that interconnects identification with successive model-based contro...
This paper presents the author’s views on the development of identification for control. The paper r...
Until recently identification theory had not focused upon delivering accurate uncertainty bounds aro...
Abstract: This paper presents the author’s views on the development of identification for control. T...
This paper shows how the identification step in several identification for control schemes can be pe...
In this paper we briefly review the evolution of the main tools and results for optimal experiment d...
Abstract: In this paper we briefly review the evolution of the main tools and results for optimal ex...
This paper reviews some issues in system identification that are relevant for building models to be ...
The links between identification and control are examined. The main trends in this research area are...
All approaches to optimal experiment design for control have so far focused on deriving an input sig...
International audienceOptimal input design for system identification was an active area of research ...
International audienceOptimal input design for system identification was an active area of research ...
Special Issue Dedicated to Brian Anderson on the Occasion of His 70th Birthday: Part IIInternational...
The effectiveness of model-based multivariable controllers depends on the quality of the model used....
Control-relevance is a paradigm that interconnects identification with successive model-based contro...
Control-relevance is a paradigm that interconnects identification with successive model-based contro...
This paper presents the author’s views on the development of identification for control. The paper r...
Until recently identification theory had not focused upon delivering accurate uncertainty bounds aro...
Abstract: This paper presents the author’s views on the development of identification for control. T...
This paper shows how the identification step in several identification for control schemes can be pe...
In this paper we briefly review the evolution of the main tools and results for optimal experiment d...
Abstract: In this paper we briefly review the evolution of the main tools and results for optimal ex...
This paper reviews some issues in system identification that are relevant for building models to be ...
The links between identification and control are examined. The main trends in this research area are...
All approaches to optimal experiment design for control have so far focused on deriving an input sig...
International audienceOptimal input design for system identification was an active area of research ...
International audienceOptimal input design for system identification was an active area of research ...
Special Issue Dedicated to Brian Anderson on the Occasion of His 70th Birthday: Part IIInternational...
The effectiveness of model-based multivariable controllers depends on the quality of the model used....
Control-relevance is a paradigm that interconnects identification with successive model-based contro...
Control-relevance is a paradigm that interconnects identification with successive model-based contro...