In this paper, we propose a distributed LQR control method, applicable to physically coupled systems, with a general-type cost function. Thanks to a novel suboptimal but distributed cost-to-go matrix update that enforces block-diagonality, the LQR gain matrix is structured, making the overall control scheme distributed. The proposed control scheme is totally distributed, scalable, and has self-tuning capabilities. The theoretical properties, including the stability of the so-obtained sub-optimal control scheme, are investigated. A case study is finally shown to illustrate the potentialities of the current scheme.
Suboptimal Distributed LQR Design for Physically Coupled Systems
Marcello Farina;
2020-01-01
Abstract
In this paper, we propose a distributed LQR control method, applicable to physically coupled systems, with a general-type cost function. Thanks to a novel suboptimal but distributed cost-to-go matrix update that enforces block-diagonality, the LQR gain matrix is structured, making the overall control scheme distributed. The proposed control scheme is totally distributed, scalable, and has self-tuning capabilities. The theoretical properties, including the stability of the so-obtained sub-optimal control scheme, are investigated. A case study is finally shown to illustrate the potentialities of the current scheme.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
partition-lqr_MF.pdf
accesso aperto
Descrizione: Paper
:
Pre-Print (o Pre-Refereeing)
Dimensione
362.62 kB
Formato
Adobe PDF
|
362.62 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.