Building a feedforward neural network optimizer in Model Predictive Control Algorithm
published by Aِl-Baath University
in 2017
in
and research's language is
العربية
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Abstract in English
This paper presents the possibility of replacing the mathematical
optimizer in the Model Predictive Control Algorithm (MPC) with a
Feedforward Neural Network Optimizer (FNNO). The optimizer
trained offline to reduce the cost function. This maintain the system
model of the system, which is essential in MPC to get accepted
accuracy. we solve optimization problem faster than the algorithms
of traditional optimization, which we built, based on digital
computing.
References used
Bernt M. A ˚ kesson, Hannu T. Toivonen,2006- " A Neural Network Model Predictive Controller" Journal of Process Control 16, 937–946
CAMACHO,E,2007- " Model Predictive Control. Springer, Second Edition," New York
Yunpeng Pan and Jun Wang,2008-" Two Neural Network Approaches to Model Predictive Control", American Control Conference, WeC13.5