Dynamic characteristics and design methods of standard and model-based controllers for inverse response processes are reviewed. The internal model control framework is used to assess performance limitations of linear feedback controllers and to illustrate the tradeoff between performance and robustness to model errors/uncertainty. A controller with the structure of the commercial proportional-integral-derivartive is proposed both for set-point tracking and for load changes; advantages with respect to lower order controllers are clearly pointed out, while negligible differences are shown with respect to more complicated structures. It is also shown that the same controller can successfully substitute inverse response compensators, allowing one to obtain an equivalent performance with a simpler control scheme.