articleIEEE Transactions on Neural Networks and Learning SystemsApr 16, 2015Closed access

A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control

TWTong WangHGHuijun GaoJQJianbin Qiu

Harbin Institute of Technology

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Abstract

This paper investigates the multirate networked industrial process control problem in double-layer architecture. First, the output tracking problem for sampled-data nonlinear plant at device layer with sampling period T(d) is investigated using adaptive neural network (NN) control, and it is shown that the outputs of subsystems at device layer can track the decomposed setpoints. Then, the outputs and inputs of the device layer subsystems are sampled with sampling period T(u) at operation layer to form the index prediction, which is used to predict the overall performance index at lower frequency. Radial basis function NN is utilized as the prediction function due to its approximation ability. Then, considering…

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Topics & keywords

Topics
Keywords
  • Control theory (sociology)
  • Model predictive control
  • Artificial neural network
  • Nonlinear system
  • Network packet
  • Sampling (signal processing)
  • Computer science
  • Networked control system
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