A hybrid artificial bee colony algorithm for parameter identification of uncertain fractional-order chaotic systems
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Publication:330797
DOI10.1007/s11071-015-2251-6zbMath1348.93083OpenAlexW2117102161MaRDI QIDQ330797
Yongguang Yu, Wei Hu, Shuo Zhang
Publication date: 26 October 2016
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-015-2251-6
System identification (93B30) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Fractional ordinary differential equations (34A08)
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Parameter identification of fractional order system using enhanced response sensitivity approach ⋮ Improved artificial bee colony algorithm for crack identification in beam using natural frequencies only ⋮ Adaptive neural network finite-time command filtered tracking control of fractional-order permanent magnet synchronous motor with input saturation ⋮ Sequential parameter identification of fractional-order Duffing system based on differential evolution algorithm ⋮ Differential evolution-based parameter estimation and synchronization of heterogeneous uncertain nonlinear delayed fractional-order multi-agent systems with unknown leader ⋮ Robust consensus tracking based on hABC algorithm with parameters identification for uncertain nonlinear FOMASs with external disturbances
Uses Software
Cites Work
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