Global analysis of nonlinear dynamical systems with fuzzy uncertainties by the cell mapping method
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Publication:802943
DOI10.1016/0045-7825(90)90146-DzbMath0726.73095OpenAlexW2074972654MaRDI QIDQ802943
Publication date: 1990
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0045-7825(90)90146-d
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Related Items (8)
BIFURCATIONS OF A FORCED DUFFING OSCILLATOR IN THE PRESENCE OF FUZZY NOISE BY THE GENERALIZED CELL MAPPING METHOD ⋮ Response Analysis of a Forced Duffing Oscillator with Fuzzy Uncertainty ⋮ Codimension two bifurcations of nonlinear systems driven by fuzzy noise ⋮ Chaos in mechanical systems -- a review ⋮ Fuzzy Noise-Induced Codimension-Two Bifurcations Captured by Fuzzy Generalized Cell Mapping with Adaptive Interpolation ⋮ Fuzzy Responses and Bifurcations of a Forced Duffing Oscillator with a Triple-Well Potential ⋮ Bifurcations of fuzzy nonlinear dynamical systems ⋮ Bifurcations of forced oscillators with fuzzy uncertainties by the generalized cell mapping method
Cites Work
- Unnamed Item
- Unnamed Item
- A modification and extension of an algorithm for generalized cell mapping
- Cell-to-cell mapping. A method of global analysis for nonlinear systems
- On the fuzzy initial value problem
- Fuzzy sets and systems. Theory and applications
- Response of uncertain dynamic systems. I
- Response of uncertain dynamic systems. II
- Global analysis of a system with multiple responses including a strange attractor
- Effects of parameter uncertainty on the response of vibratory systems to random excitation
- Propagation of uncertainties in deterministic systems
- A Cell Mapping Method for Nonlinear Deterministic and Stochastic Systems—Part I: The Method of Analysis
- A Method of Analyzing Generalized Cell Mappings
- Fuzzy sets
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