engleski

Tracking Underwater Target Using Extremum Seeking

In this paper problem of source--seeking and tracking underwater target by surface vehicle using range measurements with low sampling rate is addressed. Paper compares three extremum seeking schemes: classical extremum seeking, EKF based gradient estimation extremum seeking and EKF based gradient estimation extremum seeking enhanced with static function model data. It is shown that using additional model information can improve gradient estimation when dealing with intermittent range measurements.

Extremum seeking ; Autonomous vehicles ; Marine systems ; Gradients ; Sampled data

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