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The problem of path following for autonomous vehicles under adversarial behavior is considered. The objective is to keep the cross-track error to the reference path inside a given tolerance interval. The adversarial behavior models system uncertainty and unknown or poorly estimated bounded disturbances. The first step to that objective is the computation of an invariant set, namely the maximal set...
We developed a novel, multiple vehicle extension to a typical, single vehicle chemical plume source localization algorithm. The approach is implemented and tested in MATLAB®. We discuss simulations results to assess the potential of using the multiple vehicle approach. It occurs that there can be an advantage from using multiple vehicles.
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