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Response Analysis of a Forced Duffing Oscillator with Fuzzy Uncertainty

  • Ling Hong
  • Jun Jiang
  • Jian-Qiao Sun
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 288)

Abstract

The transient and steady-state membership distribution functions (MDFs) of fuzzy response of a forced Duffing oscillator with fuzzy uncertainty are studied by means of the Fuzzy Generalized Cell Mapping (FGCM) method. The FGCM method is first introduced. A rigorous mathematical foundation of the FGCM is established with a discrete representation of the fuzzy master equation for the possibility transition of continuous fuzzy processes. The FGCM offers a very effective approach for solutions to the fuzzy master equation based on the min-max operator of fuzzy logic. Fuzzy response is characterized by its topology in the state space and its possibility measure of MDFs. The response topology is obtained based on the qualitative analysis of the FGCM involving the Boolean operation of 0 and 1. The evolutionary process of transient and steady-state MDFs is determined by the quantitative analysis of the FGCM with the min-max calculations. It is found that the evolutionary orientation of MDFs is in accordance with invariant manifolds leading to invariant sets. In the evolutionary process of a steady-state fuzzy response with an increase of the intensity of fuzzy noise, a merging bifurcation is observed in a sudden change of the MDFs from two sharp peaks of most possibility to one peak band around unstable manifolds.

Keywords

Fuzzy Uncertainty Possibility Measure Fuzzy Response Membership Distribution Function Generalized Cell Mapping 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.State Key Lab for Strength and VibrationXi’an Jiaotong UniversityXi’anChina
  2. 2.School of EngineeringUniversity of California at MercedMercedUSA

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