Papers › Distributed Control of Descriptor Networks: A Convex Procedure for Augmented Sparsity
Distributed Control of Descriptor Networks: A Convex Procedure for Augmented Sparsity
Andrei Sperilă, Cristian Oară, Bogdan D. Ciubotaru, Şerban Sabău
For networks of systems, with possibly improper transfer function matrices, we present a design framework which enables ℋ_∞ control, while imposing sparsity constraints on the controller's coprime factors. We propose a convex and iterative optimization procedure with guaranteed convergence to obtain distributed controllers. By exploiting the robustness-oriented nature of our proposed approach, we provide the means to obtain sparse representations of our control laws that may not be directly supported by the network's nominal model.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Results from the paper archive 2025-07-28
No leaderboard rows for this paper in the archive.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections