With the evolution of high performance modem aircraft and spiraling develop
mental and experimental costs, the importance of flight validated databases
for flight control design applications and for flight simulators has incre
ased significantly in the recent past. Ground-based and in-flight simulator
s are increasingly used not only for pilot training but also for other appl
ications such as flight planning, envelope expansion, design and analysis o
f control laws, and handling qualities investigations. Most of these demand
a high-fidelity aerodynamic database representing the flight vehicle. Syst
em identification methodology, evolved over the past three decades, provide
s a powerful and sophisticated tool to identify from flight data aerodynami
c characteristics valid over the entire operational flight envelope. This p
aper briefly presents aircraft parameter estimation methods for both stable
and unstable aircraft, highlighting the developmental work at the DLR Inst
itute of Flight Mechanics. Various aspects of database identification and i
ts validation are presented. Practical aspects like the proper choice of in
tegration and optimization methods as well as limitations of gradient appro
ximation through finite-differences are brought out. Though the paper focus
es on application of system identification methods to flight vehicles, its
use in other applications, like the modelling of inelastic deformations of
metallic materials, is also presented. It is shown that there are many simi
lar problems and several challenges requiring additional concepts and algor
ithms.