Distributed model predictive control of process networks: Impact of control architecture
Year: 2017
Type: article
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.
Source: IFAC-PapersOnLine
Institution: University of Minnesota
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2765890948