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This chapter focuses on MPC controllers that use a transfer functionTransfer function model to make their predictions. From them, the most popular one is generalized predictive control (GPC), which is developed in detail, showing the general procedure to obtain the control law. Its most outstanding characteristics and extensions to deal with the cases of measurable disturbances, changes in the predictor, and issues as stability and constraints are also presented.

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Model Predictive Control Using Transfer Functions

  • 章节

  • 发表日期：

    2026年

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  • Eduardo F. Camacho,
  • Carlos Bordons,
  • José M. Maestre

摘要

This chapter focuses on MPC controllers that use a transfer functionTransfer function model to make their predictions. From them, the most popular one is generalized predictive control (GPC), which is developed in detail, showing the general procedure to obtain the control law. Its most outstanding characteristics and extensions to deal with the cases of measurable disturbances, changes in the predictor, and issues as stability and constraints are also presented.