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Mathematical Problems in Engineering
Volume 2014, Article ID 913549, 17 pages
Research Article

Fusion Control of Flexible Logic Control and Neural Network

College of Computer Science, Beijing University of Technology, Beijing 100124, China

Received 26 August 2013; Revised 12 November 2013; Accepted 15 November 2013; Published 20 January 2014

Academic Editor: Bo-Chao Zheng

Copyright © 2014 Lihua Fu and Dan Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Based on the basic physical meaning of error and error variety , this paper analyzes the logical relationship between them and uses Universal Combinatorial Operation Model in Universal Logic to describe it. Accordingly, a flexible logic control method is put forward to realize effective control on multivariable nonlinear system. In order to implement fusion control with artificial neural network, this paper proposes a new neuron model of Zero-level Universal Combinatorial Operation in Universal Logic. And the artificial neural network of flexible logic control model is implemented based on the proposed neuron model. Finally, stability control, anti-interference control of double inverted-pendulum system, and free walking of cart pendulum system on a level track are realized, showing experimentally the feasibility and validity of this method.