Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISIC.2011.6045427
Title: A HOIM-based iterative learning control scheme for multi-agent formation
Authors: Xu, J.-X. 
Zhang, S.
Yang, S.
Issue Date: 2011
Citation: Xu, J.-X.,Zhang, S.,Yang, S. (2011). A HOIM-based iterative learning control scheme for multi-agent formation. IEEE International Symposium on Intelligent Control - Proceedings : 418-423. ScholarBank@NUS Repository. https://doi.org/10.1109/ISIC.2011.6045427
Abstract: In this paper, a high-order internal model (HOIM) based iterative learning control (ILC) scheme for multi-agent system (MAS) formation is studied. The HOIM-based ILC, which is an effective approach to deal with iteratively varying reference trajectories, provides a suitable framework for derivations and analysis of MAS control in general, and formation control in particular. In this work, the connections between agents are assumed dynamically changing at consecutive formation executions, which can be formulated as a series of structural switches. By employing the HOIM-based ILC, the control signals can be learned directly and tracking error converges asymptotically along the iteration axis. © 2011 IEEE.
Source Title: IEEE International Symposium on Intelligent Control - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/83356
ISBN: 9781457711046
DOI: 10.1109/ISIC.2011.6045427
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