Show simple item record

dc.contributor.authorBennia, Abdelhaken_US

In this thesis, a presentation of a new canonical representation of multi-input multioutput systems is given. The new characterization covers the full range of practical situations in linear systems according to the structural properties and model of the perturbations which are known. Its direct link to ARMA processes as well as to classical state space representation ls also given.

The importance of the new representation lies in the fact that all unknown parameters and state variables appear linearly multlplied by either external variables (inputs and outputs) that appear in the data record, or by matrices that are only composed of ieroes and ones. This property enables us to perform a joint state and parameters estimation. Moreover, if the noises are gaussian and their statistics are known, an on-line algorithm that involves a standard dlscrete-time time-varying Kalman filter is proposed and used successfully in the estimation of unknown parameters for simulated examples.

dc.format.extentvii, 119 leavesen_US
dc.publisherVirginia Techen_US
dc.subjectParameter estimationen_US
dc.subject.lccLD5655.V855 1986.B466en_US
dc.titleMimo systems parameters identificationen_US
dc.contributor.departmentElectrical Engineeringen_US
dc.description.degreeMaster of Scienceen_US of Scienceen_US Polytechnic Institute and State Universityen_US Engineeringen_US
dc.contributor.committeechairVanLandingham, Hugh F.en_US
dc.contributor.committeememberBaumann, William T.en_US
dc.contributor.committeememberVorperian, Vatcheen_US

Files in this item


This item appears in the following Collection(s)

Show simple item record