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- W2783456395 abstract "This chapter discusses optimizing operations through automation and control using multivariable predictive control (MPC) technology. It argues that the use of dynamic process models that contain the good steady-state gain information is an essential requirement for the combination of fast closed-loop optimization and constraint control. Achieving maximum process efficiency requires the unit to be continuously operating at the optimum operating point. The only technology widely accepted and implemented in the process industry to achieve constraint control and optimization is linear multivariable model predictive control (LMPC), often simply referred to as advanced process control (APC). The chapter broadly explains the concept of APC, as well as the practical aspects of implementing advanced control. MPC is a complex technology implemented on complex processes, and an APC project is without the risk of insufficient return on investment." @default.
- W2783456395 created "2018-01-26" @default.
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- W2783456395 date "2018-01-05" @default.
- W2783456395 modified "2023-10-17" @default.
- W2783456395 title "Advanced Process Control for Maximum Resource Efficiency" @default.
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- W2783456395 doi "https://doi.org/10.1002/9783527804153.ch10" @default.
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