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 methodRandom variables -- Mathematical modelsRobust control
Thesis Number
T 9294
Print OCLC #
234195297
Electronic OCLC #
214283112
Recommended Citation
Venigella, Pavan Kumar, "Robust Mechanism synthesis with random and interval variables" (2007). Masters Theses. 6829.
https://scholarsmine.mst.edu/masters_theses/6829