Much recent work in Intelligent Control has introduced and analyzed va
rious approaches to the implementation of expert controllers. But very
little attention has been given to a fundamental question: ''How can
a controller be designed by abstracting rules from observations of a r
eal process?'' This paper gives an overview of the concept of symbolic
control and briefly compares it with expert control. A method for des
igning symbolic controllers is proposed, based on qualitative measures
of state coordinates and their derivatives, which allows the symbolic
to numeric interface to be expressed using a system of recurrence equ
ations. The technique is illustrated with two examples, symbolic proce
ss control of a first order process and symbolic control of a simulati
on representing a car on a defined track.