contributor author | Walz, Nico | |
contributor author | Burkhardt, Markus | |
contributor author | Eberhard, Peter | |
contributor author | Hanss, Michael | |
date accessioned | 2017-05-09T01:14:30Z | |
date available | 2017-05-09T01:14:30Z | |
date issued | 2015 | |
identifier issn | 2332-9017 | |
identifier other | RISK_1_4_041008.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/156893 | |
description abstract | Fuzzy uncertainty analyses disclose a deeper insight and provide a better understanding of complex systems with highly interdependent parameters. In contrast to probability theory, fuzzy arithmetic is concerned with epistemic uncertainties, which originate from a lack of knowledge or from idealizing assumptions in the modeling process. Direct fuzzy arithmetic can be used to illustrate how parameter uncertainties propagate through a system. In contrast, inverse fuzzy arithmetic can be used to identify admissible parameter uncertainties that obey defined error bounds. In addition, fuzzy arithmetic is capable of providing global sensitivity analyses. Therefore, an improved formulation for inverse analyses as well as a new concept for the computation of global sensitivities is presented. These tools are used here to assess the modelbased feedforward control of a nonlinear system with unstable internal dynamics. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | A Comprehensive Fuzzy Uncertainty Analysis of a Controlled Nonlinear System With Unstable Internal Dynamics | |
type | Journal Paper | |
journal volume | 1 | |
journal issue | 4 | |
journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering | |
identifier doi | 10.1115/1.4030810 | |
journal fristpage | 41008 | |
journal lastpage | 41008 | |
tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2015:;volume( 001 ):;issue: 004 | |
contenttype | Fulltext | |