Title page for ETD etd-11172012-040303

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
  • Recursive functions
Date of Defense 1987-03-05
Availability restricted

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.

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