Disturbance observer‐based adaptive boundary iterative learning control for a rigid‐flexible manipulator with input backlash and endpoint constraint-Reference-Cited by-同舟云学术

Disturbance observer‐based adaptive boundary iterative learning control for a rigid‐flexible manipulator with input backlash and endpoint constraint

Published:2020-08-03 Issue:9 Volume:34 Page:1220-1241
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Int J Adapt Control Signal Process

Author:

Zhou Xingyu¹,Wang Haoping¹^ORCID,Tian Yang¹,Zheng Gang²

Affiliation:

1. Sino‐french international joint laboratory of Automatic control and Signal Processing, School of AutomationNanjing University of Science and Technology Nanjing People's Republic of China

2. INRIA‐Lille Nord Europe 40 avenue Halley Villeneuve‐d'Ascq France

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3150

Reference34 articles.

1. A dynamic recurrent neural network-based controller for a rigid–flexible manipulator system

2. Rigid-flexible coupling dynamic modeling and investigation of a redundantly actuated parallel manipulator with multiple actuation modes

3. An element-free Galerkin approach for rigid–flexible coupling dynamics in 2D state

4. Adaptive actuator fault compensation control for a rigid-flexible manipulator with ODEs-PDEs model

5. Boundary control for a constrained two-link rigid–flexible manipulator with prescribed performance

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