Clonal Selection Algorithm Based Iterative Learning Control with Random Disturbance
Clonal selection algorithm is improved and proposed as a method to solve optimization problems in iterative learning control. And a clonal selection algorithm based optimal iterative learning control algorithm with random disturbance is proposed. In the algorithm, at the same time, the size of the s...
Sparad:
Huvudupphovsmän: | Gu, Qun (Författare, medförfattare), Hao, Xiao Hong (Författare, medförfattare), Du, Xian Jun (Författare, medförfattare), Xu, Wei Tao (Författare, medförfattare), Ju, Yuanyuan (Författare, medförfattare) |
---|---|
Materialtyp: | EJournal Article |
Publicerad: |
Institute of Advanced Engineering and Science,
2013-01-10.
|
Ämnen: | |
Länkar: | Get fulltext |
Taggar: |
Lägg till en tagg
Inga taggar, Lägg till första taggen!
|
Liknande verk
-
The best parameters selection using pso algorithm to solving for ito system by new iterative technique
av: Abed, Karam Adel, et al.
Publicerad: (2020) -
Global Change, Clonal Growth, and Biological Invasions by Plants
av: Peter Alpert
Publicerad: (2016) -
Ecoepigenetics in Clonal and Inbreeding Plants: Transgenerational Adaptation and Environmental Variation
Publicerad: (2019) -
Random Weighting Estimation of Poisson Distributions
av: Gao, Shesheng, et al.
Publicerad: (2013) -
An Update Algorithm for Restricted Random Walk Clusters
av: Franke, Markus
Publicerad: (2007)