Sökning: "Bayesian inference control"

Visar resultat 1 - 5 av 20 avhandlingar innehållade orden Bayesian inference control.

  1. 1. A Bayesian approach to fault isolation with application to diesel engine diagnosis

    Författare :Anna Pernestål; Bo Wahlberg; Stefan Arnborg; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bayesian probability; fault diagnosis; fault isolation; Bayesian inference; Automatic control; Reglerteknik;

    Sammanfattning : Users of heavy trucks, as well as legislation, put increasing demands on heavy trucks. The vehicles should be more comfortable, reliable and safe. Furthermore, they should consume less fuel and be more environmentally friendly. For example, this means that faults that cause the emissions to increase must be detected early. LÄS MER

  2. 2. Accelerating Monte Carlo methods for Bayesian inference in dynamical models

    Författare :Johan Dahlin; Thomas B. Schön; Fredrik Lindsten; Richard Everitt; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computational statistics; Monte Carlo; Markov chains; Particle filters; Machine learning; Bayesian optimisation; Approximate Bayesian Computations; Gaussian processes; Particle Metropolis-Hastings; Approximate inference; Pseudo-marginal methods;

    Sammanfattning : Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are recommendation systems for online shopping and streaming services, connecting genes with certain diseases and modelling climate change. LÄS MER

  3. 3. Bayesian Inference in Terrain Navigation

    Författare :Niclas Bergman; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : Terrain navigation is a concept for autonomous aircraft navigation. If measurements of the terrain height over mean sea-level are collected along the aircraft flight path, an estimate of the aircraft position can be formed by matching these measurements with a digital reference terrain map. This matching is a recursive nonlinear estimation problem. LÄS MER

  4. 4. Bayesian Inference for Nonlinear Dynamical Systems : Applications and Software Implementation

    Författare :Jerker Nordh; Institutionen för reglerteknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Indoor Navigation; pyParticleEst; Software Implementation; Simultaneous Localization and Mapping; Parameter Estimation; System Identification; Sequential Importance Sampling; Particle Filter; Bayesian Inference; Markov Chain Monte Carlo; Particle Smoother;

    Sammanfattning : The topic of this thesis is estimation of nonlinear dynamical systems, focusing on the use of methods such as particle filtering and smoothing. There are three areas of contributions: software implementation, applications of nonlinear estimation and some theoretical extensions to existing algorithms. LÄS MER

  5. 5. Towards Realistic Smart Meter Privacy against Bayesian Inference

    Författare :Ramana Reddy Avula; Tobias J. Oechtering; Daniel Månsson; Mustafa A. Mustafa; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Smart meter privacy; Bayesian inference control; Energy storage model; Data-driven modeling; Privacy-enhancing mechanisms; Hidden Markov models; Co-living household energy dataset; Integritet för smarta elmätare; bayesiansk slutledningskontroll; energilagringsmodell; datadriven modellering; sekretessförbättrande mekanismer; dolda Markov-modeller; samlevande energidataset för hushåll; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Smart meters, now an essential component of modern power grids, allow energy providers to remotely monitor users' energy consumption in near real-time. While this technology offers numerous advantages for energy management and system efficiency, it also poses significant privacy concerns. LÄS MER