Probabilistic reasoning for automotive systems

Modern control strategies for internal combustion engines use increasingly complex networks of sensors and actuators to measure different physical parameters. Often indirect measurements and estimation of variables, based off sensor data, are used in the closed loop control of the engine and its sub...

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Bibliographic Details

Main Author:	Rhys Comissiong
Format:	Default Thesis
Published:	2021
Subjects:	Other engineering not elsewhere classified bayesian statistics optimal sensor configuration aftertreatment systems Inlet Manifold Design nonlinear system Markov chain Monte Carlo method Engineering not elsewhere classified
Online Access:	https://dx.doi.org/10.26174/thesis.lboro.16867201.v1
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