In this paper we focus on the use of adaptive connectionist networks a
s a tool for designing controllers for nonlinear dynamic systems. A ge
neral interrelation between representation, control and learning is se
t up. We have developed controllers for nonlinear systems using three
control techniques. This provides a step towards the goal of generatin
g systematic control design techniques for nonlinear systems.