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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 127-133 |
| Number of pages | 7 |
| Journal | Automatica |
| Volume | 96 |
| DOIs | |
| State | Published - Oct 2018 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2018 Elsevier Ltd
Keywords
- Graph theory
- Hierarchical control
- Large scale complex systems
- Robust model predictive control
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