Robust Control Methods.
Abstract
This is the final report for research supported under AFOSR Grant F49620-92-J-0014 during the period November 1, 1991 through January 15, 1995. During this period research effort was broadly focused on developing the theory of extending class of solvable robust control problems and on developing a theory to accommodate the issues that arise in going from experimental data to robust control designs. Robust control concerns the problem of engineering control systems capable of robustly maintaining performance to within prescribed tolerances in the face of large-but-bounded modeling uncertainties and nonlinearities. A significant breakthrough achieved by the research is a new and remarkably simple Bilinear Matrix The quality (BMI) embedding of the robust control problem which distills the essential mathematical features of the full spectrum of robust control problems. Besides being simple and mathematically elegant, the BMI significantly expands the class controller design constraints that can be accommodated to include reduced order u/Km control, decentralized control, multimodel control, gain-scheduling, mixed H2/H-infinity control and so forth. A second breakthrough has been the introduction of a new unfalsified control concept providing a remarkably lucid mathematical characterization of the processes of learning and adaptation in robust control design; this theory is expected to lead to much improved techniques for reducing experimental data to practical and reliable control designs for a variety of advanced aerospace engineering applications where robust performance is prerequisite, e.g., aircraft stability augmentation systems, highly maneuverable aircraft design, missile guidance systems, and precision pointing and tracking systems. (AN)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 15, 1995
- Accession Number
- ADA295018
Entities
People
- Michael G. Safonov
Organizations
- University of Southern California