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Off-line model reduction for on-line linear MPC of nonlinear large-scale distributed systems
2011
Computers and Chemical Engineering
Model predictive control (MPC) is an efficient method for the controller design of a large number of processes. However, linear MPC is often inappropriate for controlling nonlinear large-scale systems, while non-linear MPC can be computationally costly. The resulting optimization-based procedure can lead to local minima due to the, non-convexities that non-linear systems can exhibit. To overcome the excessive computational cost of MPC application for large-scale nonlinear systems, model
doi:10.1016/j.compchemeng.2011.01.023
fatcat:qqnpcp4qrbdbrdeltll66m2k34