Designing optimal models of nonlinear MIMO systems based on orthogonal polynomial neural networks

DOI10.1080/13873954.2021.1909069zbMath1485.93282OpenAlexW3153539177MaRDI QIDQ5070683

Andjela Antić, Saša Nikolić, Miroslav B. Milovanović, Marko Milojković, Miodrag D. Spasić

Publication date: 14 April 2022

Published in: Mathematical and Computer Modelling of Dynamical Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/13873954.2021.1909069

zbMATH Keywords

polynomial neural networkmodelling of dynamic systemsgeneralized orthogonal functionstwin-rotor aero-dynamic system

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35)

Uses Software

• ANFIS

Cites Work

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• A novel improved extreme learning machine algorithm in solving ordinary differential equations by Legendre neural network methods
• Approximation based on orthogonal and almost orthogonal functions
• Piecewise asymptotic almost periodic solutions for impulsive fuzzy Cohen-Grossberg neural networks
• Adaptive PID control based on orthogonal endocrine neural networks
• Modelling of dynamical systems based on almost orthogonal polynomials
• Properties and performance of orthogonal neural network in function approximation
• Neural Networks and Statistical Learning

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