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dc.contributor.supervisor Fung,Wai-keung(Electrical and Computer Engineering) en_US
dc.contributor.author Zhang, Taiming
dc.date.accessioned 2012-03-16T19:53:15Z
dc.date.available 2012-03-16T19:53:15Z
dc.date.issued 2012-03-16
dc.identifier.uri http://hdl.handle.net/1993/5196
dc.description.abstract 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. en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject dynamic system en_US
dc.subject fuzzy differential equation en_US
dc.title Simulation of fuzzy dynamic systems with multiple fuzzy parameters and initial conditions en_US
dc.type info:eu-repo/semantics/masterThesis
dc.type master thesis en_US
dc.degree.discipline Electrical and Computer Engineering en_US
dc.contributor.examiningcommittee Peters,James(Electrical and Computer Engineering) Sepehri,Nariman(Mechanical and Manufacturing Engineering) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note May 2012 en_US


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