The transient problem in self-tuning control is further analysed in a non-stochastic framework based on model unfalsification and solutions are proposed. It is not assumed that the noise bounds or norm bounds on the unmodelled dynamics were known a priori. Depending on the transient requirements on output bound, tracking performance and length of tuning period, three cases are analysed. Simulations show the practical potential of the tuning methods presented.