Please use this identifier to cite or link to this item: https://doi.org/10.1109/AUCC.2013.6697303
Title: On iterative learning control for synchronization of MIMO heterogeneous systems
Authors: Yang, S.
Tan, Y.
Xu, J.-X. 
Issue Date: 2013
Source: Yang, S.,Tan, Y.,Xu, J.-X. (2013). On iterative learning control for synchronization of MIMO heterogeneous systems. 2013 3rd Australian Control Conference, AUCC 2013 : 379-384. ScholarBank@NUS Repository. https://doi.org/10.1109/AUCC.2013.6697303
Abstract: This work addresses a leader-follower synchronization problem of a group of agents whose dynamics are represented by general nonlinear multi-input multi-output (MIMO) equations. The group of agents can be non-identical, and their dynamics contain both parametric and lumped nonparametric uncertainties. A distributed adaptive and robust iterative learning control (ILC) algorithm is proposed. It is shown that under appropriate conditions, the proposed ILC algorithm can synchronize the trajectories of all followers to the desired one even only a few followers are able to access the trajectory of the leader. Simulation study supports the theoretical developments. © 2013 Engineers Australia.
Source Title: 2013 3rd Australian Control Conference, AUCC 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/84035
ISBN: 9781479924981
DOI: 10.1109/AUCC.2013.6697303
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