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Neural network and integer programming-based Model Predictive Control for a wastewater treatment process
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DOI：10.1016/j.jprocont.2026.103717.png)
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Abstract
En 中文
• A neural network with a rectified linear unit activation function model is developed. • A model predictive controller with the neural network model is designed. • The design yields a mixed-integer quadratic programming optimal control problem. • The controller achieves tracking of a wastewater treatment process under disturbance. • The control problem can be solved to global optimality and guarantees feasibility.
Keywords:
Neural network
Model Predictive Control
Wastewater treatment
Mixed-integer quadratic programming
Optimal control
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