Design of an interval type-2 fuzzy immune controller

Chan Hong Chao, Ming Ying Hsiao, Shun Hung Tsai, Tzuu Hseng S. Li

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


This study presents a novel Interval Type-2 Fuzzy Immune Control (IT2FIC) for linear and nonlinear discrete systems. The controller is designed by integration of the Interval Type-2 Fuzzy Logic Control (IT2FLC) and immune feedback control law. The type-2 fuzzy logic system is adopted to approximate the undetermined nonlinear function of the immune system. In order to reduce the computational loads of the type-reduction process, a new algorithm is proposed for type-reduction with a geometric analysis, which is utilized to derive a formula for computational geometry. Finally, the computer simulation results demonstrate that the proposed IT2FIC can obtain the best tracking performance among the Type-1 Fuzzy Logic Control (T1FLC), the IT2FIC and the Type-1 Fuzzy Immune Control (T1FIC).

Original languageEnglish
Pages (from-to)1115-1123
Number of pages9
JournalInformation Technology Journal
Issue number6
Publication statusPublished - 2010

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)


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