Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.13042 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866917396811350016 |
|---|---|
| author | Sperilă, Andrei Iovine, Alessio Olaru, Sorin Panciatici, Patrick |
| author_facet | Sperilă, Andrei Iovine, Alessio Olaru, Sorin Panciatici, Patrick |
| contents | A two-layer control architecture is proposed to enable scalable implementations for constraint-based decision strategies, such as model predictive controllers. The bottom layer is based upon a distributed feedback-feedforward scheme that directs the controlled network's information flow according to a pre-specified communication infrastructure. Explicit expressions for the resulting closed-loop maps are obtained, and an offline model-matching procedure is proposed for designing the first layer. The obtained control laws are deployed via distributed state-space-based implementations, and the resulting closed-loop models enable predictive control design for the constraint management procedure described in our companion paper. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_13042 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Network-Realised Model Predictive Control Part I: NRF-Enabled Closed-loop Decomposition Sperilă, Andrei Iovine, Alessio Olaru, Sorin Panciatici, Patrick Systems and Control A two-layer control architecture is proposed to enable scalable implementations for constraint-based decision strategies, such as model predictive controllers. The bottom layer is based upon a distributed feedback-feedforward scheme that directs the controlled network's information flow according to a pre-specified communication infrastructure. Explicit expressions for the resulting closed-loop maps are obtained, and an offline model-matching procedure is proposed for designing the first layer. The obtained control laws are deployed via distributed state-space-based implementations, and the resulting closed-loop models enable predictive control design for the constraint management procedure described in our companion paper. |
| title | Network-Realised Model Predictive Control Part I: NRF-Enabled Closed-loop Decomposition |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2502.13042 |