Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7108210 | Automatica | 2018 | 7 Pages |
Abstract
A robust hierarchical model predictive control framework is presented for controlling a linear system of dynamically coupled subsystems. A graph-based modeling framework captures the conservation laws of power flow systems, for which control optimizes the storage and routing of energy to maximize transient and steady-state power throughput. A constructive approach is presented for developing an N-level hierarchical controller, which guarantees satisfaction of state and input constraints in the presence of signal and model uncertainty.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Justin P. Koeln, Andrew G. Alleyne,