Abstract
This paper investigates the impact of control architecture design on the distributed model predictive control (MPC) of nonlinear complex process networks. A sequential distributed MPC structure is synthesized to regulate a nonlinear system whose dynamics are decomposed into multiple subsystems by community detection methods. The closed-loop performance and computational effort of employing centralized and sequential distributed MPC structures is analyzed for a reactor-separator integrated process.
| Original language | British English |
|---|---|
| Pages (from-to) | 12452-12457 |
| Number of pages | 6 |
| Journal | 20th IFAC World Congress |
| Volume | 50 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jul 2017 |
Keywords
- control architecture
- Distributed process control
- integrated process systems
- model predictive control
- network decomposition
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