Thrust-induced effects on a pitching-up delta wing flow field : control of stalled wings /

Neural network procedures were explored with the objectives to control a delta wing in the non-linear domain. Results show that neural networks are well suited to represent non-linear computed lift and pressure forces on delta wings. A model problem, the flare maneuver, suggests that neural network controllers can perform well for non-linear systems provided that suitable input and training data are provided to it.Photocopy.Final report for period: 94/09/01 - 95/08/31."95/11/22."Includes bibliographical references.Neural network procedures were explored with the objectives to control a delta wing in the non-linear domain. Results show that neural networks are well suited to represent non-linear computed lift and pressure forces on delta wings. A model problem, the flare maneuver, suggests that neural network controllers can perform well for non-linear systems provided that suitable input and training data are provided to it.Report supported by the Air Force Office of Scientific Research and prepared by Florida A&M University, FAMU/FSU College of Engineering, Department of Mechanical Engineering, Tallahassee, Florida, under Contract No.Mode of access: Internet