Controlling a Fleet of Unmanned Aerial Vehicles to Collect Uncertain Information in a Threat Environment

DOI10.1287/opre.2017.1590zbMath1407.93045OpenAlexW2607087691MaRDI QIDQ4604902

Rakesh Nagi, Yan Xia, Rajan Batta

Publication date: 6 March 2018

Published in: Operations Research (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/beed510b877cd6ed0ff75e9801fd254e017db240

zbMATH Keywords

decentralized controlresource allocationsearch theorymultiagent systemMarkovian policy

Mathematics Subject Classification ID

Control/observation systems with incomplete information (93C41) Decentralized systems (93A14) Stochastic systems in control theory (general) (93E03) Resource and cost allocation (including fair division, apportionment, etc.) (91B32) Software, source code, etc. for problems pertaining to systems and control theory (93-04) Agent technology and artificial intelligence (68T42)

Related Items (4)

UAV routing for reconnaissance mission: a multi-objective orienteering problem with time-dependent prizes and multiple connections ⋮ A multi‐vehicle covering tour problem with speed optimization ⋮ A vehicle routing problem arising in unmanned aerial monitoring ⋮ Robust drone selective routing in humanitarian transportation network assessment

Uses Software

• CPLEX

Cites Work

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• Continuous and discrete search for one of many objects
• Theory of optimal search
• The team orienteering problem
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• Discrete search and the Neyman-Pearson lemma
• An extensible modeling framework for dynamic reassignment and rerouting in cooperative airborne operations
• Optimization of air vehicles operations using mixed-integer linear programming
• An Investigation into Mathematical Programming for Finite Horizon Decentralized POMDPs
• Generalized orienteering problem with resource dependent rewards
• Approximate Dynamic Programming
• Optimal Whereabouts Search
• The Complexity of Decentralized Control of Markov Decision Processes

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