Heinke, SimonSimonHeinkeWerner, HerbertHerbertWerner2022-03-212022-03-212021-1260th IEEE Conference on Decision and Control (CDC 2021)http://hdl.handle.net/11420/12052In this paper we consider the problem of designing distributed static state, static output and dynamic output feedback controllers for discrete time systems. The proposed approach is based on iteratively minimizing a finite horizon quadratic cost function, where the descent directions are determined using simulated system trajectories. When the system matrices are sparse, the computational complexity of the proposed algorithm scales linearly with the size of the system.en0743-1546Proceedings of the IEEE Conference on Decision & Control202119051910A Gradient Descent Method for Finite Horizon Distributed Control of Discrete Time SystemsConference Paper10.1109/CDC45484.2021.9683326Other