Neural networks-based composite learning control for robotic systems with predefined time error constraints-Reference-Cited by-同舟云学术

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Neural networks-based composite learning control for robotic systems with predefined time error constraints

Published:2024-12 Issue: Volume:608 Page:128414
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhang Yu^ORCID,Xu Zihan^ORCID,Chen Jiannan^ORCID,Zhao Licui,Wang Xinyu,Hua Changchun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference29 articles.

1. Multi-robot control for flexible fixtureless assembly of flexible sheet metal auto body parts;Nguyen;IEEE ICRA,1996

2. ‘Development of mixed-connection stacking robot based on PMAC;Liu;CCSIT,2008

3. Safety verification of hybrid systems using barrier certificates;Prajna;HSCC,2004

4. Barrier Lyapunov functions for the control of output-constrained nonlinear systems;Tee;Automatica,2009

5. Control of nonlinear systems with time-varying output constraints;Tee;Automatica,2011

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