Multi-Input Multi-Output Model-Free Predictive Control and Its Application to Wastewater Treatment

作者：Li Hongran; Yamamoto Shigeru^*

来源：IEEJ Transactions on Electrical and Electronic Engineering, 2017, 12(5): 753-758.

DOI：10.1002/tee.22462

• predictive control
• just-in-time modeling
• polynomial regression
• wastewater treatment process

Model-free predictive control is a data-driven control method that directly computes the control input from massive input/output datasets. It does not require the mathematical models that are used in conventional model predictive control. It has recently been shown that the control offered by model-free predictive control can be improved by the introduction of polynomial regression vectors containing the control input and measurement output. In this paper, we extend these findings to multi-input multi-output nonlinear systems and investigate the effectiveness of the approach through numerical simulations of a wastewater treatment process.

• 出版日期2017-9