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An associative memory fault-tolerance control for model signal of intelligent control system

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3 Author(s)
Yang Guowei ; Dept. of Educ. Tech., Qingdao Univ., China ; Yin Yixina ; Tu Xuyana

Because artificial brain associative memory neural networks have property of nonlinear mapping, fault-tolerance power and learning capability, they have especial advantages for fault-tolerance control. This paper proposes an associative memory neural network of artificial brain's controllable fault-tolerant field, which can be used as fault-tolerance apparatus for model signals of intelligent control system. The model signal fault-tolerance apparatus differs from other ones and can design proper fault-tolerant fields for signals based on the fault-tolerance request of intelligent control system. The fault-tolerance of the control system can be heightened when the fault-tolerance apparatus is embedded in a right control system.

Published in:

Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE

Date of Conference:

19-22 March 2005

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