Thesis_corrections.pdf (12.19 MB)

Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms

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thesis
posted on 20.03.2020, 16:34 by Sam Le-Corre
The work in this thesis examines how complex dynamic systems can be improved and analysed using optimization techniques. A novel technique to systems analysis is presented and applied to a modern turbocharged, direct injection gasoline engine. A system-level view approach is taken which considers the whole system (engine and associated control strategy) to identify limitations imposed by the controls. Three key research gaps are identified and addressed. [Continues.]

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Publisher

Loughborough University

Rights holder

© Samuel David Le Corre

Publication date

2019

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy of Loughborough University.

Language

en

Supervisor(s)

Byron Mason ; Thomas Steffen

Qualification name

PhD

Qualification level

Doctoral

This submission includes a signed certificate in addition to the thesis file(s)

I have submitted a signed certificate

Exports