Review on model predictive control: an engineering perspective

🤖 Plain-English Summary

Abstract Model-based predictive control (MPC) describes a set of advanced control methods, which make use of a process model to predict the future behavior of the controlled system. Additionally, we provide detailed discussion on implantation details in general and strategies to cope with the computational burden—still a major factor in the design of MPC.

🔑 Key Findings

• By solving a—potentially constrained—optimization problem, MPC determines the control law implicitly.
• This shifts the effort for the design of a controller towards modeling of the to-be-controlled process.
• Since such models are available in many fields of engineering, the initial hurdle for applying control is deceased with MPC.

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