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dc.contributor.advisorOlivier L. de Weck.en_US
dc.contributor.authorSou, Kin Cheong, 1979-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.en_US
dc.date.accessioned2006-03-29T18:27:31Z
dc.date.available2006-03-29T18:27:31Z
dc.date.copyright2002en_US
dc.date.issued2002en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/32248
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2002.en_US
dc.descriptionIncludes bibliographical references (p. 155-158).en_US
dc.description.abstractSimulation is an important tool for the analysis and design of complex systems. As the models become more and more complex, more powerful simulation methods are desired. As an attempt to address this problem, a simulation scheme is proposed and developed in this thesis. The main objective of this work is to simulate continuous-time linear time-invariant (CT-LTI) systems efficiently with acceptable approximation and error. The method basically divides the original large order system into smaller subsystems, simulates them with state transition formula and superposes the responses by using the linearity property of LTI systems. A similarity transformation can first be employed to obtain the modal canonical form of the system. The modal form can then be divided into subsystems with manageable sizes. Discretization scheme specially developed for these subsystems can then be employed to get their discretized counterparts. At this stage, the original continuous-time IVP becomes a set of of smaller matrix vector multiplication routines. Special matrix vector product solver is chosen to exploit the sparsity resulted from the diagonalized structure of the A-matrix. Also, subsystems are considered in frequency domain to see if multiple sampling rate scheme is acceptable. Finally, the results of the simulations can be superposed to form the response of the original system. Next, the more advanced problem of simulating hybrid feedback control systems are studied.en_US
dc.description.abstract(cont.) The algorithm has been compared with the standard MATLAB LTI system simulation routine lsim.m and is shown to be able to simulate large order systems even when isim. m fails. It is also shown that the new simulator is more efficient than lsim. m even for moderately large order systems simulations. Finally, the method is applied to SIM (Space Interferometry Mission, 2000 state variables) as an example of real world applications.en_US
dc.description.statementofresponsibilityby Kin Cheong Sou.en_US
dc.format.extent158 p.en_US
dc.format.extent5659120 bytes
dc.format.extent5656503 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectAeronautics and Astronautics.en_US
dc.titleFast time domain simulation for large order hybrid systemsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.identifier.oclc56020779en_US


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