Neural Network Based Adaptive Dynamic Surface Control for Omnidirectional Mobile Robots Tracking Control with Full-state Constraints and Input Saturation-Reference-Cited by-同舟云学术

Neural Network Based Adaptive Dynamic Surface Control for Omnidirectional Mobile Robots Tracking Control with Full-state Constraints and Input Saturation

Published:2021-12 Issue:12 Volume:19 Page:4067-4077
ISSN:1598-6446
Container-title:International Journal of Control, Automation and Systems
language:en
Short-container-title:Int. J. Control Autom. Syst.

Author:

Wang Changshun^ORCID,Wang Dan^ORCID,Han Yaozhen^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s12555-020-0582-7.pdf

Reference32 articles.

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2. C. Ren, X. H. Li, X. B. Yang, and S. G. Ma, “Extended state observer-based sliding mode control of an omnidirectional mobile robot with friction compensation,” IEEE Transactions on Industrial Electronics, vol. 66, no. 12, pp. 9480–9489, December 2019.

3. L. Y. Li, Y. H. Liu, T. J. Jiang, K. Wang, and F. Mu, “Adaptive trajectory tracking of nonholonomic mobile robots using vision-based position and velocity estimation,” IEEE Transactions on Cybernetics, vol. 48, no. 2, pp. 571–582, February 2018.

4. C. Tsai, C. Hsu, C. Wu, and F. Tai, “Cooperative localization using fuzzy DDEIF and broad learning system for uncertain heterogeneous omnidirectional multi-robots,” International Journal of Fuzzy Systems, vol. 21, no. 8, pp. 2542–2555, January 2019.

5. Z. J. Niu, Q. Lu, Y. J. Cui, and Z. J. Sun, “Fuzzy control strategy for course correction of omnidirectional mobile robot,” International Journal of Control, Automation and Systems, vol. 17, no. 9, pp. 2354–2364, September 2019.

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