A nonlinear optimal iterative learning control algorithm based on RBF neural network and clonal selection algorithm

doi:10.4028/www.scientific.net/AMR.753-755.1225

	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
会议名称	3rd International Conference on Advanced Engineering Materials and Technology, AEMT 2013
会议录名称	Advanced Materials Research
卷号	753-755
页码	1225-1229
会议日期	May 11, 2013 - May 12, 2013
会议地点	Zhangjiajie, China
出版者	Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland
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.
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
DOI	10.4028/www.scientific.net/AMR.753-755.1225
收录类别	EI
语种	英语
EI入藏号	20134116828152
EI主题词	Two term control systems
ISSN	10226680
来源库	Compendex
分类代码	716 Telecommunication; Radar, Radio and Television - 723 Computer Software, Data Handling and Applications - 723.4 Artificial Intelligence - 731.1 Control Systems - 921 Mathematics
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://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
第一作者单位	兰州理工大学
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]:Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland,2013:1225-1229.