On-line identification of the parameters in a non-linear output-affine model is considered. The recursive maximum likelihood estimator, which was originally derived for linear systems, is extended to work for non-linear systems which can be described by a stochastic form of Sontag's output-affine model. Some numerical implementation aspects are discussed, a brief convergence analysis is given and a computer simulation study is included.