Abstract
dc:description.abstractThe method of Pseudo-Linear Identification (PLID) is presented as an explicitly linear approach to the joint state and parameter estimation problem. The convergence properties of the algorithm in the stochastic case are investigated through simulation and comparisons with popular methods are made. The method is then extended to allow the tracking of time-varying system parameters. An adaptive control structure based upon this Tracking–PLID algorithm is proposed which utilizes pole–placement state variable feedback via Ackermann's formula. The capabilities of this adaptive control scheme are demonstrated by application to a full-order nonlinear aircraft simulation model where significant improvement is shown over fixed-gain controllers in the face of rapid plant changes.
Degree
thesis:*- Name thesis:degree_name
- Master of Science
- Level thesis:degree_level
- masters
- Discipline thesis:degree_discipline
- Electrical Engineering
- Department dc:contributor.department
- Electrical Engineering
- Grantor dc:publisher
- Virginia Tech
- Year dc:date.issued
- 1987
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Kemp, Russell Stephen
- Chair dc:contributor.committeechair
-
- VanLandingham, Hugh F.
- Committee members dc:contributor.committeemember
-
- Kraige, Luther Glenn
- Beex, A. A. Louis
Rights
dc:rights- Statement dc:rights
-
- In Copyright
- Licence dc:rights.uri
Identifiers
dc:identifier.*- Dc Identifier Other
- etd-11172012-040303
- OAI identifier oai:identifier
- oai:vtechworks.lib.vt.edu:10919/45810