标题：Distributed model predictive control of process networks: Impact of control architecture * * Financial support from the Petroleum Institute, Abu Dhabi, UAE is gratefully acknowledged.
摘要：AbstractThis 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.
关键词：KeywordsDistributed process controlmodel predictive controlintegrated process systemscontrol architecturenetwork decomposition
