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— In this paper, the problem of multi-vehicle cooperative interception of moving objects with unknown arrival times, trajectories and dynamics is investigated. The vehicles are assumed to have limited sensing and communication ranges. Therefore centralized approaches are not efficient, especially for the case of large number of vehicles and targets. In this(More)
Ultrasound elastography involves measuring the mechanical properties of tissue, and has many applications in diagnostics and intervention. A common step in different elastography methods is imaging the tissue while it undergoes deformation and estimating the displacement field from the images. A popular next step is to estimate tissue strain, which gives(More)
Nonlinear model predictive control (NMPC) proves to be a suitable technique for controlling nonlinear systems, However, the need for the online non-convex nonlinear optimization in the NMPC algorithm increases its computational burden and leads to unreliable or even unstable control. In this paper, a computationally efficient observer-based NMPC approach(More)
In this paper, the Maximum Reward Collection Problem (MRCP) in uncertain environments is investigated where multiple agents cooperate to maximize the total reward collected from a set of moving targets in the mission space with unknown arrival times, trajectories and dynamics. The reward with respect to each of the targets has a time discounting value and(More)
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