Max Plus Decision Processes in Planning Problems for Unmanned Air Vehicle Teams
Document Type
Book Chapter
Publication Date
2013
Abstract
Many aspects of unmanned air vehicle (UAV) operations In this paper, we consider some idempotent modifications of stochastic and Bayesian analysis suitable for decision making in mixed initiative and multi-agent systems. Of particular interest are techniques for mixed initiative and highly autonomous operation. We examine certain Markov Decision Processes (MDPs) within the context of max-plus probability, and we discuss their application to problems of control of unmanned air sensing assets.
Digital Commons @ LMU & LLS Citation
Fitzpatrick, B.G. (2013). Max Plus Decision Processes in Planning Problems for Unmanned Air Vehicle Teams. In: Fahroo, F., Wang, L., Yin, G. (eds) Recent Advances in Research on Unmanned Aerial Vehicles. Lecture Notes in Control and Information Sciences, vol 444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37694-8_2
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