Hierarchical and interactive parameter refinement for early-stage system design

Though simulation models are extensively used for detailed design analysis, their potential benefits for supporting early-stage design have not yet been harvested. This thesis presents a new design methodology, called Hierarchical and Interactive Decision Refinement (HIDER), which enables detailed simulation models to be utilized for early-stage design of engineering systems. HIDER uses a machine-learning approach for forming fast empirical models at different levels of abstraction from the detailed simulation models. Models for different subsystems and from different perspectives are formed in a uniform representation and are used together in a single design environment to provide decision support for system design.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Mechanical and Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Reddy, Sudhakar Y.

Contributors dc:contributor

• Lu, Stephen C-Y

• Engineering, Mechanical
• Engineering, System Science

Statement dc:rights

• Copyright 1994 Reddy, Sudhakar Y.

Language dc:language

eng

Identifier

AAI9512523
(UMI)AAI9512523

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/22936