Date of Award

6-1994

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

First Advisor

D. Brett Ridgely, PhD

Abstract

H2 optimization with convex constraints is considered. The optimal order-free solution is shown to be unique through convex analysis. H constraints with feedforward terms and singular constraints are also allowed. The optimal fixed-order solution is shown to have the same characteristics as a mixed problem with regular H constraints. Furthermore, these results are shown to hold for controller orders as low as the optimal H2 order. A numerical method is developed based on analytical gradients which results in sub- and super-optimal fixed-order controllers. The problem is extended to include an upper bound on a mu constraint through a modification of the D-K iteration method. Next. multiple H constraints are developed. Fixed-order solutions to the multiple constraint problem are characterized and the numerical method is extended to include multiple constraints. Next, a continuous Ll constraint is added. A numerical approach is proposed based on bounding the L1-norm by the 11- norm of an Euler approximating system. Finally. H2 optimization with a finite set of H, mu, and L1 constraints is characterized. SISO and MIMO numerical examples demonstrate the application of these methods.

AFIT Designator

AFIT-DS-AA-94-2

DTIC Accession Number

ADA280593

Comments

The author's Vita page is omitted.

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