Direct neural network-based self-tuning control for a class of nonlinear systems

DOI10.1080/00207720701431490zbMath1128.93352OpenAlexW2094197623MaRDI QIDQ5309016

Han-Xiong Li, Heng Yue, Tian-You Chai

Publication date: 9 October 2007

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720701431490

zbMATH Keywords

nonlinear systemsneural networklocal linearizationself-tuning controlnonminimum phase property

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40)

Cites Work

• Unnamed Item
• Neural networks for control systems - a survey
• Nonlinear model-state feedback control for nonminimum-phase processes
• Multilayer feedforward networks are universal approximators
• Neural-net-based direct self-tuning control of nonlinear plants
• Adaptive control of nonlinear systems using neural networks
• Design and analysis of gain-scheduled control using local controller networks
• Direct neural model reference adaptive control
• Adaptive control of a class of nonlinear discrete-time systems using neural networks
• Stable inversion of nonlinear non-minimum phase systems
• Approximation by superpositions of a sigmoidal function
• Nonlinear adaptive control using neural networks and multiple models

This page was built for publication: Direct neural network-based self-tuning control for a class of nonlinear systems