Fractional Order Learning Methods for Nonlinear System Identification Based on Fuzzy Neural Network

DOI10.4208/ijnam2023-1031MaRDI QIDQ6143276

Jie Ding, Zhi-Jie Li, Sen Xu

Publication date: 23 January 2024

Published in: International Journal of Numerical Analysis and Modeling (Search for Journal in Brave)

zbMATH Keywords

nonlinear systemsfractional calculusgradient descent methodT-S fuzzy neural network

Mathematics Subject Classification ID

Numerical analysis (65-XX)

Cites Work

• Unnamed Item
• Robust exponential stability criteria for T-S fuzzy stochastic delayed neural networks of neutral type
• Improved least squares identification algorithm for multivariable Hammerstein systems
• A clustering algorithm based TS fuzzy model for tracking dynamical system data
• A novel fractional gradient-based learning algorithm for recurrent neural networks
• Fractional order neural networks for system identification
• Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis
• Triple pendulum model involving fractional derivatives with different kernels
• Adaptive fault-tolerant control for switched nonlinear systems based on command filter technique
• The gradient descent method from the perspective of fractional calculus

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