About extracting dynamic information of unknown complex systems by neural networks

DOI10.1155/2018/3671428zbMath1398.93344OpenAlexW2829123685MaRDI QIDQ1791118

José Manuel Andújar, Antonio Javier Barragán, Mikel Larrea, Eloy Irigoyen

Publication date: 4 October 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/3671428

zbMATH Keywords

nonlinear systemsneural networkslinearizationdynamic behaviormultilayer perceptrons (MLPs)unknown complex systems

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12)

Uses Software

• Scatter Search

Cites Work

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• Stability analysis and synthesis of multivariable fuzzy systems using interval arithmetic
• Nonlinear systems. Analysis, stability, and control
• Multilayer feedforward networks are universal approximators
• Multivariable fuzzy control applied to the physical-chemical treatment facility of a cellulose factory
• Neural networks for modelling and control of dynamic systems. A practitioner's handbook
• Adaptive behaviour and multiple equilibrium states in a predator-prey model
• Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization
• Neural networks for nonlinear dynamic system modelling and identification
• Fuzzy modeling of a thermal solar plant
• Introduction to Applied Nonlinear Dynamical Systems and Chaos
• A method for the solution of certain non-linear problems in least squares
• Stability of ecosystem: global properties of a general predator-prey model
• Approximation by superpositions of a sigmoidal function

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