  The paper's main contribution concerns the use of interpolatory methods to
solve end to end industrial control problems involving complex linear dynamical
systems. More in details, contributions show how the rational data and function
interpolation framework is a pivotal tool (i) to construct (frequency-limited)
reduced order dynamical models appropriate for model-based control design and
(ii) to accurately discretise controllers in view of on-board computer-limited
implementation. These contributions are illustrated along the paper through the
design of an active feedback gust load alleviation function, applied on an
industrial generic business jet aircraft use-case. The closed-loop validation
and performances evaluation are assessed through the use of an industrial
dedicated simulator and considering certification objectives. Although
application is centred on aircraft applications, the method is not restrictive
and can be extended to any linear dynamical systems.
