Searched for: subject%3A%22partially%255C%2Bobservable%255C%2Bmarkov%255C%2Bdecision%255C%2Bprocess%22
(1 - 9 of 9)
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Tseremoglou, I. (author), van Kessel, Paul J. (author), Santos, Bruno F. (author)
Condition-based maintenance (CBM) scheduling of an aircraft fleet in a disruptive environment while considering health prognostics for a set of systems is a very complex combinatorial problem, which is becoming more challenging in light of the uncertainty included in health prognostics. This type of problem falls under the broad category of...
journal article 2023
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Lathourakis, Christos (author)
An issue of utmost significance constitutes the maintenance of engineering systems exposed to corrosive environments, e.g. coastal and marine environments, highly acidic environments, etc. The most beneficial sequence of maintenance decisions, i.e. the one that corresponds to the minimum maintenance cost, can be sought as the solution to an...
master thesis 2022
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Andriotis, C. (author), Papakonstantinou, K.G. (author)
Inspection and maintenance (I&M) optimization entails many sources of computational complexity, among others, due to high-dimensional decision and state variables in multi-component systems, long planning horizons, stochasticity of objectives and constraints, and inherent uncertainties in measurements and models. This paper studies how the...
conference paper 2022
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Schöpe, M.I. (author)
Recent advances in Multi-Function Radar (MFR) systems led to an increase in their degrees of freedom. As a result, modern MFR systems are capable of adjusting many parameters during runtime. An automatic adaptation of the radar system to changing situations, like weather conditions, interference, or target maneuvers, is often mentioned in the...
doctoral thesis 2021
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Schöpe, M.I. (author), Driessen, J.N. (author), Yarovoy, Alexander (author)
The radar resource management problem in a multitarget tracking scenario is considered. The problem is solved using a dynamic budget balancing algorithm. It models the different sensor tasks as partially observable Markov decision processes and solves them by applying a combination of Lagrangian relaxation and policy rollout. The algorithm has a...
journal article 2021
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de Boer, Thies (author), Schöpe, M.I. (author), Driessen, J.N. (author)
The radar resource management problem in a multi-target tracking scenario is considered. Partially observable Markov decision processes (POMDPs) are used to describe each tracking task. Model predictive control is applied to solve the POMDPs in a non-myopic way. As a result, the computational complexity compared to stochastic optimization...
conference paper 2021
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Andriotis, C. (author), Papakonstantinou, K. G. (author)
Determination of inspection and maintenance policies for minimizing long-term risks and costs in deteriorating engineering environments constitutes a complex optimization problem. Major computational challenges include the (i) curse of dimensionality, due to exponential scaling of state/action set cardinalities with the number of components; ...
journal article 2021
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Schöpe, M.I. (author), Driessen, J.N. (author), Yarovoy, Alexander (author)
The sensor resource management problem in a multi-object tracking scenario is considered. In order to solve it, a dynamic budget balancing algorithm is proposed which models the different sensor tasks as partially observable Markov decision processes. Those are being solved by applying a combination of Lagrangian relaxation and policy rollout....
conference paper 2020
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Walraven, E.M.P. (author)
Developing intelligent decision making systems in the real world requires planning algorithms which are able to deal with sources of uncertainty and constraints. An example can be found in smart distribution grids, in which planning can be used to decide when electric vehicles charge their batteries, such that the capacity limits of lines are...
doctoral thesis 2019
Searched for: subject%3A%22partially%255C%2Bobservable%255C%2Bmarkov%255C%2Bdecision%255C%2Bprocess%22
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