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Observer-based distributed adaptive iterative learning control for linear multi-agent systems
Authors:Jinsha Li  Sanyang Liu  Junmin Li
Affiliation:School of Mathematics and Statistics, Xidian University, Xi'an, P.R. China
Abstract:This paper investigates the consensus problem for linear multi-agent systems from the viewpoint of two-dimensional systems when the state information of each agent is not available. Observer-based fully distributed adaptive iterative learning protocol is designed in this paper. A local observer is designed for each agent and it is shown that without using any global information about the communication graph, all agents achieve consensus perfectly for all undirected connected communication graph when the number of iterations tends to infinity. The Lyapunov-like energy function is employed to facilitate the learning protocol design and property analysis. Finally, simulation example is given to illustrate the theoretical analysis.
Keywords:Iterative learning control  observer-based distributed algorithm  multi-agent systems  cooperative control
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