Multistep Model Predictive Control Based on Artificial Neural Networks

@inproceedings{ChuMultistepMP,
  title={Multistep Model Predictive Control Based on Artificial Neural Networks},
  author={Ji-Zheng Chu and Wen-Yen Tsai and Shi-Shang Jang and Shyan-Shu Shieh and Pin-Ho Lin and Shi-Jer Jiang}
}
This work studies the effect of different models on the performance of multistep model predictive control (MMPC) via simulation examples and benchand pilot-scale experiments. The models used in the study are two common types of artificial neural networks (ANNs), namely, feedforward networks (FFNs) and external recurrent networks (ERNs). The steady-state offset of MMPC using FFN models is observed throughout simulation cases and experiments in case that prediction horizon is longer than the… CONTINUE READING
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