… This article aims to survey the popular neural network modeling approaches and provide a
… these models with MPC. Recent advances in the development of neural network models for …

… application of a neural-networkI based model predictive control scheme to control pH in a …
neural network as the nonlinear prediction model in an extended DMC-algorithm to control the …

… RNN models are utilized in model predictive controllers and applied to a chemical process
network … compared to the fully-connected RNN model that is developed as a black box model. …

… multistep neural network prediction model in a predictive control strategy for … control strategy,
tests involving set point tracking with introduction of various disturbances including model …

… model predictive control In this section, we incorporate an RNN model in a Lyapunov-based
model predictive control … Specifically, the RNN model (with partially-connected or fully-…

… on model predictive control ideas, where the cost function penalizes the state and control …
This paper presents a method for synthesizing such a predictive controller and gives explicit …

… controllers, only consider past and current system behavior (ie they are “reactive” to a deviation).
Predictive controllers use a system model to … Repetitive controllers, on the other hand, …

… The models produced by both methods are then implemented in Model Predictive Control
(… The accuracies of the modeling methodologies and the efficiencies of the proposed MPC …

… In this paper, a nonlinear model predictive control (MPC) scheme is proposed to control
the voltage and guarantee the fuel utilization within a safe range. The SOFC system is an …

… neural network prediction model in a predictive control … network models for model predictive
control based on linear and quadratic programming formulation. Both neural networks have …