Fusion Control of Flexible Logic Control and Neural Network. (20th January 2014)

• Record Type: Journal Article
• Authors: Fu, Lihua; Wang, Dan
• Other Names: Zheng Bo-Chao Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2014(2014)
• Publication Date: 2014-01-20
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2014/913549
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : Based on the basic physical meaning of error E and error variety EC, 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.