This final report summarizes progress on AFOSR grant FA9550-18-1-0171 between April 1, 2018 and March 31, 2021. This project contributed to the various extensions of retrospective cost adaptive control (RCAC). These extensions include 1) RCAC-based PID control, and 2) data-driven retrospective cost adaptive control (DRCAC), where online system identification is used to obtain the required modeling information. Numerical studies illustrating these methods include a model scramjet, aerodynamic flutter, and missile guidance.
Data-Driven Modeling for Dual RetrospectIve Cost Adaptive Control
2021
10 pages
Report
No indication
English
Aircraft , Computers, Control & Information Theory , Algebra, Analysis, Geometry, & Mathematical Logic , Business & Economics , Combustors , Cost models , Costs , Dead time , Department of defense , Engines , Flow , Hypersonic vehicles , Information operations , Information systems , Mach number , Pressure measurement , Scientific research , Shock , Steady state , Supersonic combustion ramjet engines , Supersonic flow