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Iterative learning control (ILC), an approach to achieve perfect trajectory tracking for uncertain dynamic systems that are periodic or repetitive, can be viewed as a kind of coordination or planning algorithm. This paper exploits this view to provide two coordination algorithms for distributed multi-agent systems. First we show how to achieve formation control for a class of nonholonomic mobile agents...
This paper employs iterative learning control scheme to generate a sequence of control signals for multi-agent formation control. It is assumed that individual agent of a group of multi-agents is governed by nonlinear dynamics, which could be known in part; in such case, we would like to find control sequences of individual agents such that they form a desired formation with respect to other agents,...
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