Composite learning adaptive backstepping control using neural networks with compact supports-Reference-Cited by-同舟云学术

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Composite learning adaptive backstepping control using neural networks with compact supports

Published:2019-05-17 Issue:12 Volume:33 Page:1726-1738
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:

Pan Yongping¹²^ORCID,Yang Chenguang³,Pratama Mahardhika⁴,Yu Haoyong²

Affiliation:

1. National University of Singapore (Suzhou) Research Institute Suzhou China

2. Department of Biomedical EngineeringNational University of Singapore Singapore

3. Bristol Robotics LaboratoryUniversity of the West of England Bristol UK

4. School of Computer Science and EngineeringNanyang Technological University Singapore

Funder

National Natural Science Foundation of China

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3002

Reference50 articles.

1. Stable Adaptive Neural Network Control

2. Neural networks for control theory and practice

3. Adaptive hybrid control system using a recurrent RBFN-based self-evolving fuzzy-neural-network for PMSM servo drives

4. Global adaptive linear control of the permanent-magnet synchronous motor

5. Adaptive Neural PD Control With Semiglobal Asymptotic Stabilization Guarantee

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