Thesis_corrections.pdf (12.19 MB)
Multi-objective optimization and analysis of nonlinear dynamic systems using genetic algorithms
thesis
posted on 2020-03-20, 16:34 authored by Sam Le-CorreThe 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 UniversityRights holder
© Samuel David Le CorrePublication date
2019Notes
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 SteffenQualification name
- PhD
Qualification level
- Doctoral
This submission includes a signed certificate in addition to the thesis file(s)
- I have submitted a signed certificate