中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Back-propagation neural network based predictive control for biomimetic robotic fish

文献类型:会议论文

作者Wang, Ming1,2; Yu, Junzhi1; Tan, Min1; Yang, Qinghai1
出版日期2008
会议名称27th Chinese Control Conference, CCC
会议日期July 16, 2008 - July 18, 2008
会议地点Kunming, Yunnan, China
关键词Biomimetic robotic fish Central pattern generator Back-propagation neural network Predictive control Motion control
通讯作者Wang Ming
英文摘要This paper presents a practical swimming data prediction method for a free-swimming, three-link robotic fish. Since a full hydrodynamic model for fish swimming is very complex and intractable, the primitive swimming data generated by a Central Pattern Generator controller is fed into a Back-Propagation Neural Network (BPNN) for trimming. After the process of training, the BPNN is able to predict the actual swimming data for various swimming patterns without dynamic modeling. Preliminary simulation and experimental results on swimming control show the effectiveness of the proposed prediction method as well as its potential for other flexible link-based robots.
会议录Chinese Control Conference, CCC
源URL[http://ir.ia.ac.cn/handle/173211/13061]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
作者单位1. Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
2. School of Information and Electric Engineering, Shandong Jianzhu University, Jinan 250101, China
推荐引用方式
GB/T 7714
Wang, Ming,Yu, Junzhi,Tan, Min,et al. Back-propagation neural network based predictive control for biomimetic robotic fish[C]. 见:27th Chinese Control Conference, CCC. Kunming, Yunnan, China. July 16, 2008 - July 18, 2008.

入库方式: OAI收割

来源:自动化研究所

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