A Multi-Center PSO Algorithm with Memory Ability and Its Application to the Online Modelling of an Underwater Vehicle Thruster
文献类型：会议论文
| 作者 | Xu GF(徐高飞)1,3,5 ; Wang GQ(王冠群)4,5; Li YP(李一平)1,5; Wang XH(王晓辉)1,5; Qu XY(曲向宇)1,3,5
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| 出版日期 | 2019 |
| 会议日期 | July 13-15, 2019 |
| 会议地点 | Tianjin, China |
| 关键词 | Online optimization PSO Tent mapping Multi-center collaborative search Online modeling Underwater vehicles |
| 页码 | 685-695 |
| 英文摘要 | To improve the performance of Particle swarm optimization (PSO) in online optimization problems, a multi-center PSO algorithm with memory ability was proposed. Main strategies of the proposed algorithm include the initial population optimization based on historical optimal solution and improved chaos mapping and the multi-center collaborative search. To verify online optimization performance, the proposed algorithm is applied to the online modelling process of an underwater vehicle thruster to optimize the modeling parameters. Result proves the superiority of the proposed algorithm in online optimization problem. |
| 产权排序 | 1 |
| 会议录 | Proceedings of the 11th International Conference on Modelling, Identification and Control, ICMIC 2019
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| 会议录出版者 | Springer |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISSN号 | 1876-1100 |
| ISBN号 | 978-981-15-0473-0 |
| WOS记录号 | WOS:000612991700064 |
| 源URL | [http://ir.sia.cn/handle/173321/26135]  |
| 专题 | 沈阳自动化研究所_水下机器人研究室 |
| 通讯作者 | Wang GQ(王冠群) |
| 作者单位 | 1.067000, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Institutes for Robotics and Intelligent Manufacturing, CAS, Shenyang 110016, China 4.Chengde Petroleum College, Chengde 5.State Key Lab of Robotics, Shenyang Institute of Automation, CAS, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Xu GF,Wang GQ,Li YP,et al. A Multi-Center PSO Algorithm with Memory Ability and Its Application to the Online Modelling of an Underwater Vehicle Thruster[C]. 见:. Tianjin, China. July 13-15, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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