Adaptive Neural Control for a Class of Nonlinear Multiagent Systems
Download
Download
Download
Full text for this resource is not available from the Research Repository.
Export
Zheng, S 
ORCID: 0000-0003-0084-9533, Shi, Peng ORCID: 0000-0001-8218-586X, Wang, S ORCID: 0000-0002-2111-6251 and Shi, Y
(2021)
Adaptive Neural Control for a Class of Nonlinear Multiagent Systems.
IEEE Transactions on Neural Networks and Learning Systems, 32 (2).
pp. 763-776.
ISSN 2162-237X
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/44574 |
| DOI | 10.1109/TNNLS.2020.2979266 |
| Official URL | https://ieeexplore.ieee.org/document/9050668 |
| Subjects | Current > FOR (2020) Classification > 4007 Control engineering, mechatronics and robotics Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > College of Science and Engineering |
| Keywords | adaptive control; uncertain multiagent systems; ordinary differential equations; beams; neural networks; barrier Lyapunov functions; proportional integral (PI)-type controller |
| Citations in Scopus | 10 - View on Scopus |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)