Chapter 18. Advanced Model-Predictive Control

Objectives of the Chapter

In this chapter we discuss some advanced topics related to model-predictive control (MPC). The main issues addressed are

  • Incorporating constraints in the control calculation.

  • Incorporating local economic objectives in addition to regulatory control objectives (LP-MPC and QP-MPC algorithms) when there are extra degrees of freedom in control.

  • Extension to nonlinear systems.

  • Extension to batch process control.

Prerequisite Reading

Chapter 17, “Basic Model-Predictive Control”

Incorporating Constraints

The dynamic matrix control method of Cutler and Ramaker (1980) was extended to constrained multivariable systems by Ricker (1985) and Garcia and Morshedi (1986). The method given here ...

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