Model predictive control. Stability conditions of multi-input multi-outputsystem.

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  • モデル予測制御　多変数系の安定性
  • モデル ヨソク セイギョ タヘンスウケイ ノ アンテイセイ
  • Stability conditions of multi-input multi-output system
  • 多変数系の安定性

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The stability of multi-input multi-output model predictive control (MIMOMPC) systems is analyzed. Some new stability theorems for MPC systems with the capability of making long-range predictions are derived. These theorems ensure that a stable control system will be realized when either the reference trajectory or input weight coefficients are properly tuned, even if large model-plant mismatch exists.<BR>In the case of one-step prediction, the relationship between the tuning of the controller's parameters and the plant's loop interactions becomes apparent. Even for a plant for which only positive/negative sign of steady-state gain is known, a stable control system can easily be realized by one-step-prediction control.

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