Stochastic Model Predictive Control

نویسندگان

  • Basil Kouvaritakis
  • Mark Cannon
چکیده

Model Predictive Control (MPC) is a control strategy that has been used successfully in numerous and diverse application areas. The aim of the present article is to discuss how the basic ideas of MPC can be extended to problems involving random model uncertainty with known probability distribution. We discuss cost indices, constraints, closed loop properties and implementation issues.

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تاریخ انتشار 2015