Simulation of fuzzy dynamic systems with multiple fuzzy parameters and initial conditions
Under some conditions in real world, precise parameters and/or initial values of dynamic systems are hard to be determined. Fuzzy Differential Equation (FDE) is a powerful tool to model dynamical systems with the uncertainty of impreciseness. This thesis presents the first numerical solution for Fuz...
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ndltd-MANITOBA-oai-mspace.lib.umanitoba.ca-1993-51962014-01-31T03:32:47Z Simulation of fuzzy dynamic systems with multiple fuzzy parameters and initial conditions Zhang, Taiming Fung,Wai-keung(Electrical and Computer Engineering) Peters,James(Electrical and Computer Engineering) Sepehri,Nariman(Mechanical and Manufacturing Engineering) dynamic system fuzzy differential equation Under some conditions in real world, precise parameters and/or initial values of dynamic systems are hard to be determined. Fuzzy Differential Equation (FDE) is a powerful tool to model dynamical systems with the uncertainty of impreciseness. This thesis presents the first numerical solution for Fuzzy Differential Equations with multiple fuzzy parameters and initial Values (FDEPIV) problems. Previous approaches for solving the FDEs only focused on FDEs with single fuzzy condition. In this thesis, we applied the proper fuzzy arithmetic on Runge-Kutta method for solving the FDEPIV problems with multiple fuzzy parameters and initial conditions. Furthermore, comparing with directly applying the extension principle in solving FDEPIV, the complexity of the proposed method is much lower, and parallelization of the proposed algorithm is feasible. Numerical examples of the FDEPIV problems are presented to demonstrate the effectiveness of the proposed method. 2012-03-16T19:53:15Z 2012-03-16T19:53:15Z 2012-03-16 http://hdl.handle.net/1993/5196 |
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topic |
dynamic system fuzzy differential equation |
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dynamic system fuzzy differential equation Zhang, Taiming Simulation of fuzzy dynamic systems with multiple fuzzy parameters and initial conditions |
description |
Under some conditions in real world, precise parameters and/or initial values of dynamic systems are hard to be determined. Fuzzy Differential Equation (FDE) is a powerful tool to model dynamical systems with the uncertainty of impreciseness. This thesis presents the first numerical solution for Fuzzy Differential Equations with multiple fuzzy parameters and initial Values (FDEPIV) problems.
Previous approaches for solving the FDEs only focused on FDEs with single fuzzy condition. In this thesis, we applied the proper fuzzy arithmetic on Runge-Kutta method for solving the FDEPIV problems with multiple fuzzy parameters and initial conditions. Furthermore, comparing with directly applying the extension principle in solving FDEPIV, the complexity of the proposed method is much lower, and parallelization of the proposed algorithm is feasible. Numerical examples of the FDEPIV problems are presented to demonstrate the effectiveness of the proposed method. |
author2 |
Fung,Wai-keung(Electrical and Computer Engineering) |
author_facet |
Fung,Wai-keung(Electrical and Computer Engineering) Zhang, Taiming |
author |
Zhang, Taiming |
author_sort |
Zhang, Taiming |
title |
Simulation of fuzzy dynamic systems with multiple fuzzy parameters and initial conditions |
title_short |
Simulation of fuzzy dynamic systems with multiple fuzzy parameters and initial conditions |
title_full |
Simulation of fuzzy dynamic systems with multiple fuzzy parameters and initial conditions |
title_fullStr |
Simulation of fuzzy dynamic systems with multiple fuzzy parameters and initial conditions |
title_full_unstemmed |
Simulation of fuzzy dynamic systems with multiple fuzzy parameters and initial conditions |
title_sort |
simulation of fuzzy dynamic systems with multiple fuzzy parameters and initial conditions |
publishDate |
2012 |
url |
http://hdl.handle.net/1993/5196 |
work_keys_str_mv |
AT zhangtaiming simulationoffuzzydynamicsystemswithmultiplefuzzyparametersandinitialconditions |
_version_ |
1716629119784976384 |