Furieri, LucaZheng, YangPapachristodoulou, AntonisKamgarpour, Maryam2021-12-012021-12-012021-12-012019-0610.23919/ECC.2019.8796100https://infoscience.epfl.ch/handle/20.500.14299/183328We consider the problem of designing a stabilizing and optimal static controller with a pre-specified sparsity pattern. Since this problem is NP-hard in general, it is necessary to resort to approximation approaches. In this paper, we characterize a class of convex restrictions of this problem that are based on designing a separable quadratic Lyapunov function for the closed-loop system. This approach generalizes previous results based on optimizing over diagonal Lyapunov functions, thus allowing for improved feasibility and performance. Moreover, we suggest a simple procedure to compute favourable structures for the Lyapunov function yielding high-performance distributed controllers. Numerical examples validate our results.text::conference output::conference proceedings::conference paper