Abstract
A distributed model predictive control strategy is proposed for subsystems sharing a limited resource. Self-organized Time Division Multiple Access is used to coordinate subsystem controllers in a sequence such that no two re-optimize simultaneously. This new approach requires no central coordination or pre-organized optimizing sequence. The scheme guarantees satisfaction of coupled constraints despite dynamic entry and exit of subsystems.
| Original language | English |
|---|---|
| Pages (from-to) | 407-414 |
| Number of pages | 8 |
| Journal | Automatica |
| Volume | 93 |
| Early online date | 9 Apr 2018 |
| DOIs | |
| Publication status | Published - 1 Jul 2018 |
Keywords
- Distributed model predictive control
- Constrained systems
- Scalable DMPC
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Professor Arthur G Richards
- School of Engineering Mathematics and Technology - Professor of Robotics and Control
- Dynamics and Control
Person: Academic , Member