Case-based reasoning and system identification for control engineering learning

This paper presents a novel Web service encouraging active learning by students. The students are able to use physical systems in a remote way, obtaining explanatory feedback on whether their actions are correct or incorrect. This service is based on system identification (SI) techniques to gain a knowledge of the physical system involved and case-based reasoning (CBR) for exploiting this knowledge. Uniting CBR and SI, an emulation of the real physical system is achieved that permits resolution of the problems of real-time access and simultaneous multiuser access that currently exist in remote-learning laboratories.