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

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2 Author(s)
Jin Lv ; Sch. of Inf. Eng., Changan Univ., Xian, China ; Xiang-mo Zhao

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.

Published in:

Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on

Date of Conference:

15-16 May 2009

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