Please use this identifier to cite or link to this item:
|Title:||Synchronized tracking control of multi-agent system with limited information|
|Authors:||Cui, R. |
|Source:||Cui, R., Ge, S.S., Ren, B. (2010). Synchronized tracking control of multi-agent system with limited information. Proceedings of the IEEE Conference on Decision and Control : 5480-5485. ScholarBank@NUS Repository. https://doi.org/10.1109/CDC.2010.5717361|
|Abstract:||In this paper, synchronized tracking control is considered for multiple agents with unknown system dynamics, while the desired trajectory is only available to portion of the team members. Using the weighted average of the neighbors' outputs, adaptive neural network (NN) tracking control is designed for each agent. Rigid mathematical proof was provided for the proposed algorithm based on the Lyapunov analysis. It is shown that, under the proposed NN control, the output tracking error of each agent converges to an adjustable neighborhood of the origin. Simulations of synchronized altitude tracking of multiple unmanned helicopters are provided to demonstrate the effectiveness of the approaches presented. ©2010 IEEE.|
|Source Title:||Proceedings of the IEEE Conference on Decision and Control|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
WEB OF SCIENCETM
checked on Nov 14, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.