Research of intelligence control based on Knowledge-increasable Neural Network Group

Aiming at the complex dynamic feature of large ship, an intelligent control structure based on library-similar knowledge-increasable neural network group is presented. This compounded control structure using the dynamic knowledge-increasable learning capability of the neural network groups, solve th...

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Bibliographic Details
Main Authors: Lv Jin, Zhao Xiang-mo, Guo Chen
Format: Conference Proceeding
Language:English
Subjects:
artificial neural network
Artificial neural networks
Automatic control
Electronic mail
intelligence control
Intelligent control
Intelligent networks
Knowledge engineering
knowledge-increasable neural network
Marine vehicles
Motion control
Neural networks
Nonlinear control systems
ship motion control
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Summary:Aiming at the complex dynamic feature of large ship, an intelligent control structure based on library-similar knowledge-increasable neural network group is presented. This compounded control structure using the dynamic knowledge-increasable learning capability of the neural network groups, solve the problems of online identification and online design of the controller, so that the high precise output tracking control of uncertain nonlinear large ship can be realized. Simulating results show that it is feasible and effective.
DOI:10.1109/ICCSE.2009.5228538