A nonlinear optimal iterative learning control algorithm based on RBF neural network and clonal selection algorithm | |
Li, Heng Jie; Hao, Xiao Hong; Pei, Xi Ping | |
2013 | |
会议日期 | May 11, 2013 - May 12, 2013 |
会议地点 | Zhangjiajie, China |
关键词 | Genetic algorithms Image classification Iterative methods Neural networks Optimization Radial basis function networks Clonal selection algorithms Faster convergence Iterative learning control Iterative learning control algorithm Non-linear optimization problems Nonlinear optimal Optimum input RBF Neural Network |
卷号 | 753-755 |
DOI | 10.4028/www.scientific.net/AMR.753-755.1225 |
页码 | 1225-1229 |
英文摘要 | Improved clonal selection algorithms and RBF neural network are used for solving nonlinear optimization problems and modeling respectively in iterative learning control, and a nonlinear optimal iterative learning control algorithm (NOILCA) is proposed. In this method, an improved clonal selection algorithm is used for solving the optimum input for the next iteration; another one is used to update the RBF neural network model of real plant. Compared with GA-ILC, NOILCA has faster convergence speed, and is able to deal with the problem of inaccurate plant model, can obtain satisfactory tracking through the few several iterations. © (2013) Trans Tech Publications, Switzerland. |
会议录 | Advanced Materials Research |
会议录出版者 | Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland |
语种 | 英语 |
ISSN号 | 10226680 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/117410] |
专题 | 兰州理工大学 |
作者单位 | College of Electrical and Information Engineering, Lanzhou University of Technology, Gansu, 730050, China |
推荐引用方式 GB/T 7714 | Li, Heng Jie,Hao, Xiao Hong,Pei, Xi Ping. A nonlinear optimal iterative learning control algorithm based on RBF neural network and clonal selection algorithm[C]. 见:. Zhangjiajie, China. May 11, 2013 - May 12, 2013. |
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