Andrea Iannelli
Andrea Iannelli
Scientific Publications
Miscellaneous
Methodische Grundlagen
On the Regret of H-infinity control
Inproceedings
Control in an uncertain world
Methodische Grundlagen
A Dual System-Level Parameterization for Identification from Closed-Loop Data
Booktitle
Proceedings of the 2023 62nd IEEE Conference on Decision and Control (CDC)
Adresse des Autors
Singapore, Singapore
Erscheinungsjahr
2023
Inproceedings
Control in an uncertain world
End-to-end automated energy system
Methodische Grundlagen
Energiesysteme
A quantitative and constructive proof of Willems’ Fundamental Lemma and its implications
Booktitle
Proceedings of the 2023 American Control Conference (ACC)
Adresse des Autors
San Diego, CA, USA
Erscheinungsjahr
2023
Inproceedings
Control in a data rich world
Methodische Grundlagen
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control
Booktitle
Proceedings of the 2023 62nd IEEE Conference on Decision and Control (CDC)
Adresse des Autors
Singapore, Singapore
Erscheinungsjahr
2023
Inproceedings
Control in an uncertain world
Methodische Grundlagen
A Dual System-Level Parameterization for Identification from Closed-Loop Data
Booktitle
Proceedings of the 2023 62nd IEEE Conference on Decision and Control (CDC)
Adresse des Autors
Singapore, Singapore
Erscheinungsjahr
2023
Inproceedings
Control in an uncertain world
End-to-end automated energy system
Methodische Grundlagen
Energiesysteme
A quantitative and constructive proof of Willems’ Fundamental Lemma and its implications
Booktitle
Proceedings of the 2023 American Control Conference (ACC)
Adresse des Autors
San Diego, CA, USA
Erscheinungsjahr
2023
Inproceedings
Control in a data rich world
Methodische Grundlagen
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control
Booktitle
Proceedings of the 2023 62nd IEEE Conference on Decision and Control (CDC)
Adresse des Autors
Singapore, Singapore
Erscheinungsjahr
2023
Miscellaneous
Control in an uncertain world
Methodische Grundlagen
A Dual System-Level Parameterization for Identification from Closed-Loop Data
Erscheinungsjahr
2023
