Adaptive iterative learning control based on IF--THEN rules and data-driven scheme for a class of nonlinear discrete-time systems
type: Item
instance of: scholarly article
title: Adaptive iterative learning control based on IF--THEN rules and data-driven scheme for a class of nonlinear discrete-time systems
zbMATH Open document ID: 1398.93170
author: Chidentree Treesatayapun
published in: Soft Computing
publication date: 2018-10-22T00:00:00Z
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6960069
zbMATH Keywords: iterative learning control
zbMATH Keywords: data-driven control
zbMATH Keywords: discrete-time systems
zbMATH Keywords: adaptive control
zbMATH Keywords: DC motor
zbMATH Keywords: neuro-fuzzy
MaRDI profile type: Publication
full work available at URL: s00500-016-2349-x
OpenAlex ID: W2519680428
cites work: A data-driven adaptive ILC for a class of nonlinear discrete-time systems with random initial states and iteration-varying target trajectory
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cites work: Fuzzy-neuro position/force control for robotic manipulators with uncertainties
cites work: A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization
DOI: 10.1007/S00500-016-2349-X
description: scientific article; zbMATH DE number 6960069