Research of Model-Free Adaptive Control System Based on Neural Network

Abstract:

With the development of industry, the control system is more and more complex. For the nonlinear problems which can’t be solved by the traditional linear control system used now, it uses the model-free adaptive control system based on the neural network to effectively solve them. In this paper, it firstly makes a detailed analysis on the neural network, describing the neuron, the BP network and the training of neural network; then talks about the model-free adaptive control system, analyzing the structure, characteristics and algorithm of the system; and finally gives the core code of the model-free adaptive control system of the neural network. This paper provides positive effect to the industrial control staff and artificial intelligence researchers.

• Periodical: Applied Mechanics and Materials (Volumes 608-609)
• Pages: 484-488
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.608-609.484
• Online since: October 2014
• Authors: Ze Min Liu*
• Keywords: Adaptive, Model-Free, Neural Network (NN)

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