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Optimal Monitoring via Differential Games

Author(s):

D. Paccagnan
Conference/Journal:

Abstract:

The problem of continuously monitoring a region using a team of agents (e.g. Unmanned Aerial Vehicles equipped with cameras) is addressed and formulated as a differential game. This allows the use of multiple heterogenous vehicles i.e. agents with different sensor models. Two different approaches are presented to solve the problem. The first one consists in a standard differential game, for which the Hamilton Jacobi Bellman equations provide a sufficient condition. The second formulation results in a non standard differential game that is tackled with two different techniques. The first technique approximates the game as a sequence of infinite horizon optimal control problems. The second one is based on the wavelet decomposition and truncation of the planned trajectory: the differential game is transformed into a non-differentiable optimization problem over Rp. We present numerical simulations in the case of agents with single integrator dynamics. The results can be exploited to generate a trajectory plan for vehicles with more general dynamics.

Year:

2014
Type of Publication:

(12)Diploma/Master Thesis
Supervisor:



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@MastersThesis{Paccagnan:MScthesis,
advisor = {M.E. Valcher and A. Astolfi and P.G. Hjorth},
author = {D. Paccagnan},
date-added = {2014-10-16 06:21:08 +0000},
date-modified = {2014-10-16 07:17:13 +0000},
keywords = {Optimal Monitoring, UAVs, Differential Games, Surveillance},
school = {{Universita Degli Studi di Padova},{Technical University of Denmark}},
title = {{Optimal Monitoring via Differential Games}},
type = {Laurea thesis},
year = {2014} 
}
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