When the plant to control is subject to large variations of its point of operation, or if some of its parameters are uncertain, the corresponding change in local dynamics prevents a single linear controller to yield a good performance, or even to globally stabilize the system. In order to tackle this issue, the approach followed in the present chapter consists of the identification of a bank of linear models that represent the plant dynamics in different regions of operation and/or different parameter ranges. To each of these so called local models a linear controller (named local controller) is associated that is designed such that, when connected to the plant, it yields the desired performance in the operating region/parameter range to which the local model is associated. To prevent instability that stems from fast switching a dwell time condition is imposed, meaning that, when a local controller is connected to the plant, it remains so for at least a minimum time interval. The application of this multiple model adaptive control (MMAC) strategy is illustrated by its experimental application to an air heating fan and a distributed collector solar field.