Abstract
In this paper, we solve the optimal H2 control problem distributed over networks with an arbitrary graph, with the assumption that the controller network has no delays but only sparsity constraints. Our solution extends the previous approach valid for strongly connected graphs. Under the quadratic invariance structure assumption, we follow the Youla parameterization framework for the distributed control synthesis setup. We show that the optimal solution is finite-dimensional and can be computed by solving three algebraic Riccati equations: two are standard for centralized H2 control, while the third emerges from the sparsity constraints imposed by the network. We present a 4-car platoon example for method validation.
| Original language | English (US) |
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| Title of host publication | 2024 IEEE 63rd Conference on Decision and Control, CDC 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 178-183 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350316339 |
| DOIs | |
| State | Published - 2024 |
| Event | 63rd IEEE Conference on Decision and Control, CDC 2024 - Milan, Italy Duration: Dec 16 2024 → Dec 19 2024 |
Publication series
| Name | Proceedings of the IEEE Conference on Decision and Control |
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| ISSN (Print) | 0743-1546 |
| ISSN (Electronic) | 2576-2370 |
Conference
| Conference | 63rd IEEE Conference on Decision and Control, CDC 2024 |
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| Country/Territory | Italy |
| City | Milan |
| Period | 12/16/24 → 12/19/24 |
Bibliographical note
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