NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Optimally Scaled H(sub infinity) Full Information Control Synthesis with Real UncertaintyThis paper presents an algorithm to synthesize optimal controllers for the scaled H(sub infinity). full information problem with real and complex uncertainty. The control problem is reduced to a linear matrix inequality which can be solved via a finite dimensional convex optimization. This technique is compared with the optimal scaled H(sub infinity). full information with only complex uncertainty and D - K iteration control design to synthesize controllers for a missile autopilot. Directly including real parametric uncertainty into the control design results in improved robust performance of the missile autopilot. The controller synthesized via D - K iteration achieves results similar to the optimal designs.
Document ID
19970040579
Acquisition Source
Armstrong Flight Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Balas, Gary J.
(Minnesota Univ. Minneapolis, MN United States)
Lind, Rick
(Minnesota Univ. Minneapolis, MN United States)
Packard, Andy
(California Univ. Berkeley, CA United States)
Date Acquired
August 17, 2013
Publication Date
January 1, 1996
Subject Category
Computer Programming And Software
Accession Number
97X10825
Funding Number(s)
CONTRACT_GRANT: RTOP 505-63-50
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Document Inquiry

Available Downloads

There are no available downloads for this record.
No Preview Available