Type of Document Master's Thesis Author Kemp, Russell Stephen URN etd-11172012-040303 Title Pseudo-linear indentification and its application to adaptive control Degree Master of Science Department Electrical Engineering Advisory Committee
Advisor Name Title VanLandingham, Hugh F. Committee Chair Beex, A. A. Louis Committee Member Kraige, Luther Glenn Committee Member Keywords
- Recursive functions
Date of Defense 1987-03-05 Availability restricted Abstract
The 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.
Filename Size Approximate Download Time (Hours:Minutes:Seconds)
28.8 Modem 56K Modem ISDN (64 Kb) ISDN (128 Kb) Higher-speed Access LD5655.V855_1987.K458.pdf 6.29 Mb 00:29:07 00:14:58 00:13:06 00:06:33 00:00:33next to an author's name indicates that all files or directories associated with their ETD are accessible from the Virginia Tech campus network only.
If you have questions or technical problems, please Contact DLA.