Fakulta elektrotechniky a informatiky / Faculty of Electrical Engineering and Informatics

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Predictive Controller Based on Feedforward Neural Network with Rectified Linear Units
(Springer Nature Switzerland AG, 2019) Doležel, Petr; Honc, Daniel; Štursa, Dominik
This paper deals with a nonlinear Model Predictive Control with a special form of the process model. Controller uses for the prediction purposes a locally valid linear sub-models. The sub-models are obtained from a neural model with the rectifier activation function in hidden neurons. Simulation example is given to demonstrate proposed solution - neural model design and predictive controller application.