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

CORC > 兰州理工大学 > 兰州理工大学

	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.