A Gradient Descent Method for Finite Horizon Distributed Control of Discrete Time Systems

Publikationstyp
Conference Paper
Date Issued
2021-12
Sprache
English
Author(s)
Heinke, Simon  
Werner, Herbert  
Institut
Regelungstechnik E-14  
TORE-URI
http://hdl.handle.net/11420/12052
Journal
Proceedings of the IEEE Conference on Decision & Control  
Volume
2021-December
Start Page
1905
End Page
1910
Citation
60th IEEE Conference on Decision and Control (CDC 2021)
Contribution to Conference
60th IEEE Conference on Decision and Control, CDC 2021  
Publisher DOI
10.1109/CDC45484.2021.9683326
Scopus ID
2-s2.0-85126069006
In 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.