This course treats control structures that are referred to as intelligent control and go beyond the more simple classical feedback control systems: adaptive control and learning control. These control systems have in common that they can handle systems with partly unknown or time-varying characteristics. The course starts with a classification of these control systems. Direct adaptive control systems (such as MRAC: Model Reference Adaptive Control) are able to automatically adjust controller parameters, without prior identification of a model. Indirect adaptive control systems (such as Self Tuning Regulators) adjust controller parameters based on the results of model identification. Learning control systems use various knowledge representations to deal, for instance, with non-linear system behaviour or repetitive disturbances. Iterative Learning Control and Learning Feed-Forward Control will be treated.