Accession Number:

ADA399708

Title:

Robust Control Feedback and Learning

Descriptive Note:

Final technical rept. 1 Oct 1997-31 Aug 2001

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES DEPT OF ELECTRICAL ENGINEERING

Personal Author(s):

• Safonov, Michael G.

Report Date:

2002-11-30

Pagination or Media Count:

25.0

Abstract:

The research focused on broadening the class of solvable robust control problems and on developing a firm information theoretic foundation for incorporating the real-time effects of evolving experimental data. Robust control theory concerns the design of control systems capable of robustly maintaining performance to within prescribed tolerances in the face of large-but-bounded modeling uncertainties and nonlinearities. Significant advances were achieved in nonlinear robustness analysis for systems having repeated monotone nonlinearities and in reliable data-driven adaptive control synthesis techniques based on unfalsified control theory. The theory enables design of nonlinear feedback control systems that learn, discover and evolve in order to robustly compensate for battle damage, equipment failures and other changing circumstances.

Descriptors:

• *AEROSPACE SYSTEMS
• *CONTROL THEORY
• ADAPTIVE CONTROL SYSTEMS
• FEEDBACK
• LEARNING

Subject Categories:

• Research and Experimental Aircraft
• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE