Use this URL to cite or link to this record in EThOS:
Title: Identification and analysis of linear and non-linear fast-sampled systems
Author: Chadwick, Mark Anthony
ISNI:       0000 0001 3525 8560
Awarding Body: University of Sheffield
Current Institution: University of Sheffield
Date of Award: 2008
Availability of Full Text:
Access from EThOS:
This thesis presents an investigation into the identification and analysis of and non-linear fast-sampled systems. Traditionally, discrete-time sampled-data systems are represented using shift-operator parameterisations utilising the δ-operator. An alternative parameterisation using the q-operator is explored and shown to maintain a close correspondence to the continuous-time. This approach offers the ability to unify discrete and continuous-time theory as each can be considered a special case of the δ-operator approach. In addition, these parameterisations possess numerical advantages when compared to the shift-operator representations.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available