Smart manufacturing: Machine learning-based economic MPC and preventive maintenance

This chapter focuses on the development of an economic model predictive control scheme that incorporates an ensemble of recurrent neural networks (RNN) for prediction and addresses economic optimality and closed-loop stability of nonlinear systems under preventive actuator maintenance. Specifically, an ensemble of RNN models is developed using data from extensive open-loop simulations to capture process nonlinear dynamics in an operating region. Based on the ensemble of RNN models, an economic model predictive control scheme is proposed to integrate scheduled preventive control actuator maintenance, process economics, and process control into a unified methodology.