Adaptive control algorithms presently dominating the theoretical literature have recently been demonstrated to behave poorly when assumptions used to prove their idealized behavior are violated. Though such violations undoubtedly occur in practice, adaptive controllers have been repeatedly documented as successful in a variety of applications. This research will focus on eliminating the theory-practice gap due to the impractical, current theoretical limitation that the controller structure be sufficient to arbitrarily modify all modes of the plant behavior. Thus, the aim of this research is the development of a theoretical framework for describing, and subsequently improving, the robustness of restricted complexity adaptive controllers. The major directions to be pursued are the characterization of undesirable parameter estimate drift in restricted complexity adaptive control as well as generation and evaluation of algorithm fixes given improved understanding of stability/instability mechanisms in existing algorithms.

Agency
National Science Foundation (NSF)
Institute
Division of Electrical, Communications and Cyber Systems (ECCS)
Type
Standard Grant (Standard)
Application #
8506149
Program Officer
Kristen M. Biggar, N-BioS
Project Start
Project End
Budget Start
1985-07-01
Budget End
1987-12-31
Support Year
Fiscal Year
1985
Total Cost
$99,187
Indirect Cost
Name
Cornell University
Department
Type
DUNS #
City
Ithaca
State
NY
Country
United States
Zip Code
14850