A clonal selection algorithm based fuzzy optimal iterative learning control algorithm

doi:10.4028/www.scientific.net/AMR.490-495.329

	A clonal selection algorithm based fuzzy optimal iterative learning control algorithm
	Li, Hengjie 1,2; Hao, Xiaohong 1,2; Du, Xianjun 1,2; Jin, Yarong 1
	2012
会议日期	May 18, 2012 - May 19, 2012
会议地点	GuiLin, China
关键词	Genetic algorithms Intelligent materials Optimization Time domain analysis Uncertainty analysis Clonal selection algorithms Iterative learning control Iterative learning control algorithm Model uncertainties Takagi-Sugeno-Kang fuzzy system Time domain TSK fuzzy system
卷号	490-495
DOI	10.4028/www.scientific.net/AMR.490-495.329
页码	329-333
英文摘要	In order to realize effective tracking of output of non-linear plants with model uncertainty in specified time domain, a clonal selection algorithm based fuzzy optimal iterative learning control algorithm is proposed. In the algorithm, a clonal selection algorithm is employed to search optimal input for next iteration, and another clonal selection algorithm is used to update the parameters of Takagi-Sugeno-Kang fuzzy system model of the plant. Simulations show that the proposed method converges faster than GA-ILC in iterative domain, and is able to deal with model uncertainty well. © (2012) Trans Tech Publications, Switzerland.
会议录	Advanced Materials Research
会议录出版者	Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
语种	英语
ISSN号	10226680
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116430]
专题	电气工程与信息工程学院
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Gansu, 730050, China; 2.Key Laboratory of Gansu Advanced Control for Industrial Processes, Gansu, 730050, China
推荐引用方式 GB/T 7714	Li, Hengjie,Hao, Xiaohong,Du, Xianjun,et al. A clonal selection algorithm based fuzzy optimal iterative learning control algorithm[C]. 见:. GuiLin, China. May 18, 2012 - May 19, 2012.