Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Hybrid estimation"”.
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When Decision Meets Estimation: Theory and Applications
In many practical problems, both decision and estimation are involved. This dissertation intends to study the relationship between decision and estimation in these problems, so that more accurate inference methods can be developed. Hybrid estimation is an important formulation that deals with state …
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Robust decision-making with model uncertainty in aerospace systems
… part of this thesis discusses the area of robust hybrid estimation. Model uncertainty in hybrid estimation can result in significant covariance mismatches and inefficient estimates. The specific problem of covariance underestimation is addressed, and a new robust estimator is developed that finds …
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Multiple model estimation for linear stochastic hybrid systems with non-homogeneous transition probabilities
This thesis investigates the field of stochastic hybrid estimation. A broad introduction to the framework surrounding estimation, filtering, and multiple model based systems is presented. More specifically, the often made assumption of a constant time-invariant mode transition probability matrix is …
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Fast, approximate state estimation of concurrent probabilistic hybrid automata
… and discrete variables. Unfortunately, hybrid estimation is typically intractable due to the large space of possible assignments to the discrete variables. In this thesis, we investigate how to incorporate conflict directed techniques from the consistency-based, model-based diagnosis …
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Metaheuristics and machine learning for joint stratification and sample allocation in survey design
… we combine the explorative properties of an estimation of distribution algorithm (EDA) to model the probabilities of an atomic stratum belonging to different strata with the exploitative search properties of a simulated annealing algorithm to create a hybrid estimation of distribution …
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Adaptive Estimation and Detection Techniques with Applications
Hybrid systems have been identified as one of the main directions in control theory and attracted increasing attention in recent years due to their huge diversity of engineering applications. Multiplemodel (MM) estimation is the state-of-the-art approach to many hybrid estimation problems. Existing …