Masters Theses

Abstract

"Robust mechanism synthesis ensures that the performance of a mechanism is not sensitive to uncertainties in the mechanism and its environment. The uncertainties include the dimension variations, installation errors, random input motion, and various external forces. Robust mechanism synthesis is used to minimize the impact of these uncertainties on the mechanism performance. Robust mechanism synthesis has been performed by either a probabilistic approach or a worst case approach. The former approach describes uncertain parameters as random variables while the latter approach treats uncertain parameters as interval variables. In this work, methods are developed for robustness assessment and robust mechanism synthesis when both random and interval variables exists"--Abstract, page iii.

Advisor(s)

Du, Xiaoping

Committee Member(s)

Chandrashekhara, K.
Midha, A. (Ashok)

Department(s)

Mechanical and Aerospace Engineering

Degree Name

M.S. in Mechanical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Fall 2007

Pagination

x, 90 pages

Note about bibliography

Includes bibliographical references (pages 57-58).

Rights

© 2007 Pavan Kumar Venigella, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Interval analysis (Mathematics)
Monte Carlo method
Random variables -- Mathematical models
Robust control

Thesis Number

T 9294

Print OCLC #

234195297

Electronic OCLC #

214283112

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