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Information Technology Journal
  Year: 2010 | Volume: 9 | Issue: 6 | Page No.: 1115-1123
DOI: 10.3923/itj.2010.1115.1123
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Design of an Interval Type-2 Fuzzy Immune Controller

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

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).
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  •    Fuzzy Games under Possibility and Necessity Expectations
  •    A Class of New Fuzzy Inference Systems with Linearly Parameter Growth and Without Any Rule Base
  •    Fuzzy Adaptive Proportional Integral and Differential with Modified Smith Predictor for Micro Assembly Visual Servoing
  •    Improved Strength Pareto Evolutionary Algorithm with Local Search Strategies for Optimal Reactive Power Flow
How to cite this article:

Chan-Hong Chao, Ming-Ying Hsiao, Shun-Hung Tsai and Tzuu-Hseng S. Li, 2010. Design of an Interval Type-2 Fuzzy Immune Controller. Information Technology Journal, 9: 1115-1123.

DOI: 10.3923/itj.2010.1115.1123






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