Year: 2013
Type: preprint
Abstract: This work presents the solution to a class of decentralized linear quadratic state-feedback control problems, in which the plant and controller must satisfy the same combination of delay and sparsity constraints. Using a novel decomposition of the noise history, the control problem is split into independent subproblems that are solved using dynamic programming. The approach presented herein both unifies and generalizes many existing results.
Source: arXiv (Cornell University)
Authors: Lamperski, Andrew, Lessard, Laurent
Institutions: University of Minnesota, University of California, Berkeley
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2952675463