Case studies of optimum filter-controller design in sampled data systems

dc.contributor.advisorStrum, Robert D.
dc.contributor.authorMcMichael, John Coleman
dc.contributor.authorSkezas, George Christ
dc.date.accessioned2012-08-09T19:31:43Z
dc.date.available2012-08-09T19:31:43Z
dc.date.issued1966-05
dc.description.abstractIn this paper an investigation is made of the problem of estimating and predicting the states of a linear, discrete, time-invariant, dynamic process which is excited by Gaussian noise and where the observable states are disturbed by Gaussian measurement noise. The concepts of optimum filter design, originally developed by R. E. Kalman, are utilized. Also we have closed the loop on two illustrative examples by determining the optimal control for the plant as a function of the plant's state variables. Here the concepts of a cost performance index and dynamic programming (the latter originally developed by R. Bellman) are employed. The CDC 1604 digital computer, using Fortran 60 programming is utilized in the solution of the optimum filter-controller design.en_US
dc.description.serviceLieutenant, United States Navyen_US
dc.description.urihttp://archive.org/details/casestudiesofopt109459457
dc.identifier.urihttps://hdl.handle.net/10945/9457
dc.language.isoen_US
dc.publisherMonterey, California. U.S. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleCase studies of optimum filter-controller design in sampled data systemsen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
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