Research of Intelligence Control Based on Knowledge-increasable Neural Network Group

摘要：

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.

关键词： intelligence control ship motion control artificial neural network knowledge-increasable neural network

作者: LV Jin ZHAO Xiang-mo GUO Chen

作者单位: School of Information Engineering Changan University Xian, China Automation and Electric Engineering College Dalian Maritime University Dalian, China

会议类型: 国际会议

会议名称: 第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)

会议地点: 南京

会议语种:英文

页码: 3-6

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）