A Clonal Selection Algorithm Based Fuzzy Optimal Iterative Learning Control Algorithm

Heng Jie Li; Xiao Hong Hao; Xian Jun Du; Ya Rong Jin

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495A Clonal Selection Algorithm Based Fuzzy Optimal...

A Clonal Selection Algorithm Based Fuzzy Optimal Iterative Learning Control Algorithm

Abstract:

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

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

329-333

DOI:

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

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Online since:

March 2012

Authors:

Heng Jie Li, Xiao Hong Hao, Xian Jun Du, Ya Rong Jin

Keywords:

Clonal Selection Algorithm, Iterative Learning Control, TSK Fuzzy System

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References

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