The existing experience on using MUSMAR, a predictive adaptive controller, on industrial
and large scale pilot plants with transport phenomena is discussed. The processes to control have been
selected because their dynamics depends not only on time, but also on space, being therefore described
by partial differential equations, and implying increase difficulties for the controller. Case studies on an
industrial boiler, an arc-welding machine, a distributed collector solar field and a water distribution canal
are used to illustrate the main difficulties and the corresponding solutions when using MUSMAR. These
include plant model uncertainty and start-up adaptation transients, large and uncertain plant i/o transport
delay, existence of un-modelled dynamics, closed-loop response shaping and constraints. The emphasis of
the presentation is on the practical impact of the theoretical properties of the MUSMAR algorithm and on
their illustration by means of actual experiments on the real processes mentioned above